text:
, 2013, FRONT COMPUT SCI-CHI, V7, P157, DOI 10.1007/s11704-013-3903-7.
   Comuzzi M, 2016, IND MANAGE DATA SYST, V116, P1468, DOI 10.1108/IMDS-12-2015-0495.
   Curran PJ, 1996, PSYCHOL METHODS, V1, P16, DOI 10.1037//1082-989X.1.1.16.
   Davenport TH, 2006, HARVARD BUS REV, V84, P98.
   Demirkan H, 2013, DECIS SUPPORT SYST, V55, P412, DOI 10.1016/j.dss.2012.05.048.
   DeVellis R. F., 2012, SCALE DEV THEORY APP, V26.
   Domo, 2017, DAT NEV SLEEPS 4 0.
   Dubey R, 2016, INT J ADV MANUF TECH, V84, P631, DOI 10.1007/s00170-015-7674-1.
   Eckstein D, 2015, INT J PROD RES, V53, P3028, DOI 10.1080/00207543.2014.970707.
   Ellram LM, 2013, J SUPPLY CHAIN MANAG, V49, P14, DOI 10.1111/jscm.12019.
   Erevelles S, 2016, J BUS RES, V69, P897, DOI 10.1016/j.jbusres.2015.07.001.
   Excelacom, 2016, 2016 UPD WHAT HAPP O.
   Forza C, 2002, INT J OPER PROD MAN, V22, P152, DOI 10.1108/01443570210414310.
   Giannakis M, 2016, J ENTERP INF MANAG, V29, P706, DOI 10.1108/JEIM-06-2015-0050.
   Gobble MM, 2013, RES TECHNOL MANAGE, V56, P64, DOI 10.5437/08956308X5601005.
   Gunasekaran A, 2017, J BUS RES, V70, P308, DOI 10.1016/j.jbusres.2016.08.004.
   Gupta M, 2016, INFORM MANAGE-AMSTER, V53, P1049, DOI 10.1016/j.im.2016.07.004.
   Hair J., 2006, MULTIVARIATE DATA AN, V6.
   Hazen BT, 2016, COMPUT IND ENG, V101, P592, DOI 10.1016/j.cie.2016.06.030.
   Hazen BT, 2014, INT J PROD ECON, V154, P72, DOI 10.1016/j.ijpe.2014.04.018.
   He W, 2017, J KNOWL MANAG, V21, P275, DOI 10.1108/JKM-07-2015-0296.
   Jin XL, 2015, BIG DATA RES, V2, P59, DOI 10.1016/j.bdr.2015.01.006.
   Kache F, 2017, INT J OPER PROD MAN, V37, P10, DOI 10.1108/IJOPM-02-2015-0078.
   Kune R., 2016, J SOFTWAREPRACTICE E, V46, P1.
   Lambert D. M., 1990, J BUSINESS LOGISTICS, V11, P5.
   LANDIS JR, 1977, BIOMETRICS, V33, P159, DOI 10.2307/2529310.
   Larson P. D., 2005, Journal of Business Logistics, V26, P211.
   Lee J., 2015, INFORM SPEKTRUM, V38, P230, DOI DOI 10.1007/S00287-015-0891-Z.
   Lugmayr A, 2017, J KNOWL MANAG, V21, P197, DOI 10.1108/JKM-07-2016-0307.
   Manyika J, 2011, BIG DATA NEXT FRONTI.
   Marshall Anthony, 2015, Strategy \& Leadership, V43, P32, DOI 10.1108/SL-06-2015-0054.
   Papadopoulos T, 2017, J CLEAN PROD, V142, P1108, DOI 10.1016/j.jclepro.2016.03.059.
   Pauleen DJ, 2017, J KNOWL MANAG, V21, P1, DOI 10.1108/JKM-08-2016-0339.
   PODSAKOFF PM, 1986, J MANAGE, V12, P531, DOI 10.1177/014920638601200408.
   Qin J, 2016, PROC CIRP, V52, P173, DOI 10.1016/j.procir.2016.08.005.
   Richey RG, 2016, INT J PHYS DISTR LOG, V46, P710, DOI 10.1108/IJPDLM-05-2016-0134.
   Rothberg HN, 2017, J KNOWL MANAG, V21, P92, DOI 10.1108/JKM-07-2015-0300.
   Schoenherr T., 2015, J BUS LOGIST, V36, P1.
   Sivarajah U, 2017, J BUS RES, V70, P263, DOI 10.1016/j.jbusres.2016.08.001.
   Stock T, 2016, PROC CIRP, V40, P536, DOI 10.1016/j.procir.2016.01.129.
   Strawn George O., 2012, EDUCAUSE Review, V47, P26.
   Tan KH, 2015, INT J PROD ECON, V165, P223, DOI 10.1016/j.ijpe.2014.12.034.
   Tokman M, 2012, J BUS LOGIST, V33, P181, DOI 10.1111/j.2158-1592.2012.01051.x.
   Waller MA, 2013, J BUS LOGIST, V34, P77, DOI 10.1111/jbl.12010.
   Wamba SF, 2017, J BUS RES, V70, P356, DOI 10.1016/j.jbusres.2016.08.009.
   Wamba SF, 2015, INT J PROD ECON, V165, P234, DOI 10.1016/j.ijpe.2014.12.031.
   Wang G, 2016, INT J PROD ECON, V176, P98, DOI 10.1016/j.ijpe.2016.03.014.
   Wang SY, 2016, INT J DISTRIB SENS N, DOI 10.1155/2016/3159805.
   Watson HJ, 2014, COMMUN ASSOC INF SYS, V34, P1247.
   WERNERFELT B, 1984, STRATEGIC MANAGE J, V5, P171, DOI 10.1002/smj.4250050207.
   Wills MJ, 2014, J HEALTHC MANAG, V59, P254.
   Wu KJ, 2017, J CLEAN PROD, V142, P663, DOI 10.1016/j.jclepro.2016.04.040.
   Zelbst PJ, 2012, INT J OPER PROD MAN, V32, P329, DOI 10.1108/01443571211212600.
   Zhao R, 2017, J CLEAN PROD, V142, P1085, DOI 10.1016/j.jclepro.2016.03.006.
   Zhong RY, 2016, COMPUT IND ENG, V101, P572, DOI 10.1016/j.cie.2016.07.013.
   Zhong RY, 2015, INT J PROD ECON, V165, P260, DOI 10.1016/j.ijpe.2015.02.014.
   Zhou ZH, 2014, IEEE COMPUT INTELL M, V9, P62, DOI 10.1109/MCI.2014.2350953.}},
Number-of-Cited-References = {{65}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Int. J. Logist. Manag.}},
Doc-Delivery-Number = {{GH8EC}},
Unique-ID = {{ISI:000433898900014}},
DA = {{2018-07-05}},
}

@article{ ISI:000423034900001,
Author = {Khosiawan, Yohanes and Khalfay, Amy and Nielsen, Izabela},
Title = {{Scheduling unmanned aerial vehicle and automated guided vehicle
   operations in an indoor manufacturing environment using differential
   evolution-fused particle swarm optimization}},
Journal = {{INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS}},
Year = {{2018}},
Volume = {{15}},
Number = {{1}},
Month = {{JAN 22}},
Abstract = {{Intelligent manufacturing technologies have been pursued by the
   industries to establish an autonomous indoor manufacturing environment.
   It means that tasks, which are comprised in the desired manufacturing
   activities, shall be performed with exceptional human interventions.
   This entails the employment of automated resources (i.e. machines) and
   agents (i.e. robots) on the shop floor. Such an implementation requires
   a planning system which controls the actions of the agents and their
   interactions with the resources to accomplish a given set of tasks. A
   scheduling system which plans the task executions by scheduling the
   available unmanned aerial vehicles and automated guided vehicles is
   investigated in this study. The primary objective of the study is to
   optimize the schedule in a cost-efficient manner. This includes the
   minimization of makespan and total battery consumption; the priority is
   given to the schedule with the better makespan. A metaheuristic-based
   methodology called differential evolution-fused particle swarm
   optimization is proposed, whose performance is benchmarked with several
   data sets. Each data set possesses different weights upon
   characteristics such as geographical scale, number of predecessors, and
   number of tasks. Differential evolution-fused particle swarm
   optimization is compared against differential evolution and particle
   swarm optimization throughout the conducted numerical simulations. It is
   shown that differential evolution-fused particle swarm optimization is
   effective to tackle the addressed problem, in terms of objective values
   and computation time.}},
Publisher = {{SAGE PUBLICATIONS INC}},
Address = {{2455 TELLER RD, THOUSAND OAKS, CA 91320 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Khosiawan, Y (Reprint Author), Aalborg Univ, Dept Mat \& Prod, Fibigerstr 16, DK-9220 Aalborg, North Jutland, Denmark.
   Khosiawan, Yohanes; Nielsen, Izabela, Aalborg Univ, Dept Mat \& Prod, Fibigerstr 16, DK-9220 Aalborg, North Jutland, Denmark.
   Khalfay, Amy, Manchester Metropolitan Univ, Sch Comp Math \& Digital Technol, Manchester, Lancs, England.}},
DOI = {{10.1177/1729881417754145}},
Article-Number = {{1729881417754145}},
ISSN = {{1729-8814}},
Keywords = {{Unmanned aerial vehicle; automated guided vehicle; scheduling;
   metaheuristic; DE and PSO hybrid}},
Keywords-Plus = {{INDUSTRY 4.0; DESIGN; SMART; SYSTEM}},
Research-Areas = {{Robotics}},
Web-of-Science-Categories  = {{Robotics}},
Author-Email = {{yok@mp.aau.dk}},
ORCID-Numbers = {{Nielsen, Izabela Ewa/0000-0002-3506-2741
   Khosiawan, Yohanes/0000-0002-9729-8485}},
Funding-Acknowledgement = {{Innovation Fund Denmark under project UAWorld {[}9-2014-3]}},
Funding-Text = {{The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: This work
   has been partly supported by Innovation Fund Denmark under project
   UAWorld, grant agreement number 9-2014-3.}},
Cited-References = {{Ang JH, 2017, ENERGIES, V10, DOI 10.3390/en10050610.
   Das GP, 2015, J INTELL ROBOT SYST, V80, P33, DOI 10.1007/s10846-014-0154-2.
   Hsu PE, 2012, INT J ADV ROBOT SYST, V9, DOI 10.5772/54819.
   Kaveh A., 2017, ADV METAHEURISTIC AL.
   Khosiawan Y, 2017, ARXIV170609737.
   Khosiawan Y, 2016, ARXIV160406223.
   Khosiawan Y, 2016, PROD MANUF RES, V4, P2, DOI 10.1080/21693277.2016.1195304.
   Kirsch U., 1993, STRUCTURAL OPTIMIZAT.
   Kromer P, 2010, ADV INTEL SOFT COMPU, V67, P127, DOI 10.1007/978-3-642-10687-3\_12.
   Li D, 2017, CLUSTER COMPUT, V20, P1855, DOI 10.1007/s10586-017-0852-1.
   Li Z, 2016, ADV MECH ENG, V8, P1, DOI 10. 1177/1687814016667907.
   MahmoudZadeh S, 2016, INT J ADV ROBOT SYST, V13, DOI 10.1177/1729881416657974.
   Nearchou AC, 2006, J HEURISTICS, V12, P395, DOI {[}10.1007/10732-006-3750-x, 10.1007/s10732-006-3750-x].
   Nielsen I, DISTRIBUTED COMPUTIN, P19.
   Nilakantan MJ, 2016, ENG COMPUTATION, V33, P580, DOI 10.1108/EC-11-2014-0232.
   Odili J, 2017, INT J ADV ROBOT SYST, V14, DOI 10.1177/1729881417705969.
   Poli Riccardo, 2007, Swarm Intelligence, V1, P33, DOI 10.1007/s11721-007-0002-0.
   Price K., 2006, DIFFERENTIAL EVOLUTI.
   Qian F, 2017, ENGINEERING-PRC, V3, P154, DOI 10.1016/J.ENG.2017.02.011.
   Zhang R, 2013, INT J ADV ROBOT SYST, V10, DOI 10.5772/55956.
   Zhu ZX, 2017, INT J ADV ROBOT SYST, V14, DOI 10.1177/1729881417710312.}},
Number-of-Cited-References = {{21}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{10}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Int. J. Adv. Robot. Syst.}},
Doc-Delivery-Number = {{FT3GI}},
Unique-ID = {{ISI:000423034900001}},
OA = {{gold}},
DA = {{2018-07-05}},
}

@article{ ISI:000428903500013,
Author = {Ghionea, Ionut Gabriel and Ghionea, Adrian and Predincea, Nicolae},
Title = {{CUTTING PARAMETERS AND ANALYSIS BY FEA SIMULATION OF THEIR INFLUENCE ON
   THE RE-PROFILATION OF THE WHEELS OF THE RAILWAY WHEELSET}},
Journal = {{ACTA TECHNICA NAPOCENSIS SERIES-APPLIED MATHEMATICS MECHANICS AND
   ENGINEERING}},
Year = {{2018}},
Volume = {{61}},
Number = {{1}},
Pages = {{73-84}},
Month = {{MAR}},
Abstract = {{Modern approaches on research projects in the field of lathes'
   remanufacturing involve various simulation stages, like FEA and CAM, in
   order to obtain results and solutions with different aspects and data
   important to consider. These simulations may confirm data obtained
   through measurement, but also extrapolate values that can't be measured
   directly on the machine-tool technological system. Usually, a
   mathematical and simulated models, with a low error percent, are the
   main key for the remanufacturing team. The newest trend in manufacturing
   technologies, the acclaimed Industry 4.0, relies on new design concepts
   and methods, data acquisition and exchange between systems, processing,
   visualization and automation. Modern simulation methods, system
   integration between simulated and measured data, augmented reality,
   etc., are important parts of the actual factories. More and more
   machine-tools without CNC capabilities are remanufactured in this new
   vision of Industry 4.0. This paper presents some phases in establishing
   the turning process parameters in profiling and re-profiling of the
   trains wheelsets. There are used specific instruments (a mathematical
   approach and 3D models for FEA simulation) in order to determine which
   system (tool holder - insert - process parameters) are better to be used
   on the remanufactured lathe.}},
Publisher = {{TECHNICAL UNIV CLUJ-NAPOCA, FAC MACHINE BUILDING DEPT SYSTEMS ENG}},
Address = {{B-DUL MUNCII NR 103105, RM C01, CLUJ-NAPOCA, CP 400 641, ROMANIA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ghionea, IG (Reprint Author), Univ Politehn Bucuresti, Fac Engn \& Management Technol Syst, Dept Machine Mfg Technol, Independentei 313,Dist 6, Bucharest, Romania.
   Ghionea, Ionut Gabriel, Univ Politehn Bucuresti, Fac Engn \& Management Technol Syst, Dept Machine Mfg Technol, Independentei 313,Dist 6, Bucharest, Romania.
   Ghionea, Adrian, Univ Politehn Bucuresti, Fac Engn \& Management Technol Syst, Dept Machines \& Mfg Syst, Spl Independentei 313,Dist 6, Bucharest, Romania.
   Predincea, Nicolae, Univ Politehn Bucuresti, Fac Engn \& Management Technol Syst, Dept Machine Mfg Syst, Spl Independentei 313,Dist 6, Bucharest, Romania.}},
ISSN = {{1221-5872}},
Keywords = {{tread profile; wheelset; re-profilation; cutting parameters; FEA
   analysis}},
Research-Areas = {{Mechanics}},
Web-of-Science-Categories  = {{Mechanics}},
Author-Email = {{ionut76@hotmail.com
   adrianghionea@yahoo.com
   nicolaepredincea@yahoo.com}},
ResearcherID-Numbers = {{Ghionea, Ionut Gabriel/K-7850-2017}},
ORCID-Numbers = {{Ghionea, Ionut Gabriel/0000-0002-9062-0064}},
Funding-Acknowledgement = {{MEN-UEFISCDI {[}PN II-PT-PCCA-2013-4-1681]}},
Funding-Text = {{The paper presents researches in the frame of Partnerships in Priority
   Areas Programme PNII supported by MEN-UEFISCDI, in project PN
   II-PT-PCCA-2013-4-1681, Mechatronic system for measuring the wheel
   profile of the rail transport vehicles, in order to optimize the
   reshaping on CNC machine tools and increase the traffic safety, 2014 -
   2017.}},
Cited-References = {{Altintas Y, 2012, MANUFACTURING AUTOMATION: METAL CUTTING MECHANICS, MACHINE TOOL VIBRATIONS, AND CNC DESIGN, 2ND EDITION, P1.
   Amaral N, 2005, INT J ADV MANUF TECH, V25, P409, DOI 10.1007/s00170-003-1796-6.
   {[}Anonymous], 2007, 13262 SR EN.
   {[}Anonymous], 1999, J MATER PROCESS TECH, V86, P17.
   {[}Anonymous], 1984, 8123 UIC.
   {[}Anonymous], 2017, 13715A12011 SR, V63, P70, DOI {[}10.1016/j.procir.2017.03.078, DOI 10.1016/J.PROCIR.2017.03.078].
   {[}Anonymous], 2014, RAILWAY TURNING RETU.
   {[}Anonymous], 2016, MACHINING SOLUTIONS.
   {[}Anonymous], 5102 UIC.
   Arrazola PJ, 2013, CIRP ANN-MANUF TECHN, V62, P695, DOI 10.1016/j.cirp.2013.05.006.
   Constantin G., P 9 INT WORK C TOT Q, P225.
   Cus F., 2015, J MECH ENG, V61, P245, DOI {[}10.5545/sv-jme.2014.2345, DOI 10.5545/SV-JME.2014.2345].
   Davim J. P., 2008, MACHINING FUNDAMENTA, DOI {[}10.1007/978-1-84800-213-5, DOI 10.1007/978-1-84800-213-5].
   Degner W, 2009, SPANENDE FORMUNG THE.
   Elbah M, 2013, MEASUREMENT, V46, P3041, DOI 10.1016/j.measurement.2013.06.018.
   Ghionea I., 13 IFIP WG 5 1 INT C, P296, DOI {[}10.1007/978-3-319-54660-5\_27, DOI 10.1007/978-3-319-54660-5\_27].
   Klocke F, 2011, RWTHEDITION, P1, DOI 10.1007/978-3-642-11979-8\_1.
   Liang QK, 2016, SENSORS-BASEL, V16, DOI 10.3390/s16111926.
   Perovic B., 2006, HDB WERKZENGMASCHINE.
   Predincea N., 2012, GENERATING SURFACES.
   Shevtsov I. Y., 2008, THESIS.
   Thakare A, 2015, PROC CIRP, V31, P234, DOI 10.1016/j.procir.2015.03.024.
   Velchev S, 2014, J CLEAN PROD, V80, P139, DOI 10.1016/j.jclepro.2014.05.099.
   Ventura C. E. H., P I MECH ENG B-MANAG, V231, DOI {[}10.1177/0954405416685388, DOI 10.1177/0954405416685388].}},
Number-of-Cited-References = {{24}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Acta Tech. Napoc. Ser.-Appl. Math. Mech. Eng.}},
Doc-Delivery-Number = {{GB2RW}},
Unique-ID = {{ISI:000428903500013}},
DA = {{2018-07-05}},
}

@article{ ISI:000429529100011,
Author = {Poonpakdee, P. and Koiwanit, J.},
Title = {{ACCURACY OF DISTRIBUTED SYSTEMS TOWARDS INDUSTRY 4.0: SMART GRIDS AND
   URBAN DRAINAGE SYSTEMS CASE STUDIES}},
Journal = {{INTERNATIONAL JOURNAL OF GEOMATE}},
Year = {{2018}},
Volume = {{14}},
Number = {{43}},
Pages = {{70-76}},
Month = {{MAR}},
Abstract = {{With significantly improving the overall manufacturing operations
   commonly known in smart factory practices, vertical and horizontal
   integrations of various components are introduced throughout the entire
   value chain. The proliferation of smart factory practices introduces the
   fourth industrial revolution called Industry 4.0. Industry 4.0 creates
   new challenges and the application of networked manufacturing systems is
   one of the important features required to handle the systems in an
   efficient way by communicating and processing information to each other.
   Distributed systems provide coordination to allow the global information
   to be available for a better decision making and consequently achieving
   high efficiency. This connectivity helps for a better decision making
   and therefore achieve high efficiency. However, the evaluation on the
   accuracy of global information between different architectures of
   distributed systems (centralized systems and decentralized systems) has
   little work mentioning in the state of current manufacturing systems
   under the conception of Industry 4.0. As a result, this research will
   fill the gap by providing an accuracy of the decentralized system over
   the centralized system together with their sensitivity analysis. In this
   study, the decentralized system is built based on the concept of
   Epidemic protocols or Gossip-based protocols, while the centralized
   system is a simple client-server. The epidemic protocol is a
   bio-inspired communication paradigm that imitates the behavior of virus
   when the outbreak occurs in a community. The accuracy in both systems
   has been monitored by means of simulations. The effects of message loss
   to the accuracy of centralized and decentralized systems are studied. By
   comparing the system accuracy between both systems, it was found that
   the accuracy of the decentralized system is generally more accurate when
   the system is used for a long period. The accuracy tends to be lower
   down especially when the information is not completely distributed,
   while the accuracy of the centralized system receives an excessive
   suffer from message loss.}},
Publisher = {{GEOMATE INT SOC}},
Address = {{MIE UNIV, GRAD SCH OF BIORESOURCES, TSU CITY, MIE 514-8507, JAPAN}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Poonpakdee, P (Reprint Author), King Mongkuts Inst Technol, Fac Engn, Dept Ind Engn, Bangkok 10520, Thailand.
   Poonpakdee, P.; Koiwanit, J., King Mongkuts Inst Technol, Fac Engn, Dept Ind Engn, Bangkok 10520, Thailand.}},
DOI = {{10.21660/2018.43.3574}},
ISSN = {{2186-2982}},
EISSN = {{2186-2990}},
Keywords = {{Industry 4.0; Centralized systems; Decentralized system; Application
   accuracy}},
Keywords-Plus = {{GOSSIP ALGORITHMS; DYNAMIC NETWORKS; MANAGEMENT}},
Research-Areas = {{Engineering}},
Web-of-Science-Categories  = {{Engineering, Civil}},
Cited-References = {{AHN JH, 2013, 2 INT CONF ADV COMP, V42, P323.
   Bawa M, 2003, TECHNICAL REPORT.
   Blasa F, 2011, P INT C ADV P2P SYST, P27.
   Boyd S, 2006, IEEE T INFORM THEORY, V52, P2508, DOI 10.1109/TIT.2006.874516.
   Campos F, 2014, PEER TO PEER COMP P2, P1.
   Di Fatta G., 2011, 2011 IEEE International Conference on Data Mining Workshops, P151, DOI 10.1109/ICDMW.2011.76.
   Di S, 2009, P 10 HIGH PERF COMP, P85.
   Dimakis AG, 2010, P IEEE, V98, P1847, DOI 10.1109/JPROC.2010.2052531.
   Galzarano S, 2013, IEEE SYS MAN CYBERN, P26, DOI 10.1109/SMC.2013.12.
   Garofalo G, 2017, J NETW COMPUT APPL, V78, P30, DOI 10.1016/j.jnca.2016.11.004.
   Gupta I, 2001, P 20 ANN ACM S PRINC, P170.
   Jelasity M, 2005, ACM T COMPUT SYST, V23, P219, DOI 10.1145/1082469.1082470.
   Jelasity M, 2011, NATURAL COMPUTING SE, P139, DOI {[}10.1007/978-3-642-17348-67, DOI 10.1007/978-3-642-17348-6\_7].
   Jesus P, 2010, ABS10116596 CORR.
   Katti A, 2015, P 22 EUROMPI.
   Kempe D, 2013, FOCS, P482.
   Ma Y, 2009, IEEE GLOBECOM, P1, DOI DOI 10.1109/ICC.2009.5199573..
   Mashayekhi H, 2013, COMPUTING, V95, P759, DOI 10.1007/s00607-012-0264-2.
   MONTRESOR A, 2009, 2009 IEEE 9 INT C, P99.
   Novotny P, THESIS IMPERIAL COLL.
   O'Reilly Media Inc., 2004, DISTR SYST TOP.
   Poonpakdee P, 2017, FUTURE GENER COMP SY, V75, P85, DOI 10.1016/j.future.2017.02.033.
   Poonpakdee P, 2015, LECT NOTES COMPUT SC, V9258, P177, DOI 10.1007/978-3-319-23237-9\_16.
   Qu B, 2016, P 5 INT WORKSH COMPL.
   Ragusa C, 2005, IEEE J SEL AREA COMM, V23, P2223, DOI 10.1109/JSAC.2005.857203.
   Sofra N, P 2 ANN C INT TECHN.
   Soltero P, 2013, P 3 INT WORKSH RUNT.
   Strakova H, 2013, PROCEDIA COMPUT SCI, V18, P189, DOI 10.1016/j.procs.2013.05.182.
   Tang SY, 2011, COMPUT COMMUN, V34, P765, DOI 10.1016/j.comcom.2010.10.001.
   Vahdat A, 2000, CS200006 DUK.
   Van Renesse R, 2009, P IFIP INT C DISTR S, P55.
   Yuan K, 2016, SIAM J OPTIMIZ, V26, P1835, DOI 10.1137/130943170.}},
Number-of-Cited-References = {{32}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Int. J. GEOMATE}},
Doc-Delivery-Number = {{GC1GP}},
Unique-ID = {{ISI:000429529100011}},
OA = {{gold\_or\_bronze}},
DA = {{2018-07-05}},
}

@article{ ISI:000428567100066,
Author = {Bressanelli, Gianmarco and Adrodegari, Federico and Perona, Marco and
   Saccani, Nicola},
Title = {{Exploring How Usage-Focused Business Models Enable Circular Economy
   through Digital Technologies}},
Journal = {{SUSTAINABILITY}},
Year = {{2018}},
Volume = {{10}},
Number = {{3}},
Month = {{MAR}},
Abstract = {{Recent studies advocate that digital technologies are key enabling
   factors for the introduction of servitized business models. At the same
   time, these technologies support the implementation of the circular
   economy (CE) paradigm into businesses. Despite this general agreement,
   the literature still overlooks how digital technologies enable such a CE
   transition. To fill the gap, this paper develops a conceptual framework,
   based on the literature and a case study of a company implementing a
   usage-focused servitized business model in the household appliance
   industry. This study focuses on the Internet of Things (IoT), Big Data,
   and analytics, and identifies eight specific functionalities enabled by
   such technologies (improving product design, attracting target
   customers, monitoring and tracking product activity, providing technical
   support, providing preventive and predictive maintenance, optimizing the
   product usage, upgrading the product, enhancing renovation and
   end-of-life activities). By investigating how these functionalities
   affect three CE value drivers (increasing resource efficiency, extending
   lifespan, and closing the loop), the conceptual framework developed in
   this paper advances knowledge about the role of digital technologies as
   an enabler of the CE within usage-focused business models. Finally, this
   study shows how digital technologies help overcome the drawback of
   usage-focused business models for the adoption of CE pointed out by
   previous literature.}},
Publisher = {{MDPI}},
Address = {{ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Bressanelli, G (Reprint Author), Univ Brescia, Dept Mech \& Ind Engn, RISE Lab, I-25123 Brescia, Italy.
   Bressanelli, Gianmarco; Adrodegari, Federico; Perona, Marco; Saccani, Nicola, Univ Brescia, Dept Mech \& Ind Engn, RISE Lab, I-25123 Brescia, Italy.}},
DOI = {{10.3390/su10030639}},
Article-Number = {{639}},
ISSN = {{2071-1050}},
Keywords = {{circular business model; sustainability; servitization; Product-Service
   System (PSS); Internet of Things; Big Data \& Analytics; Industry 4.0;
   household appliances}},
Keywords-Plus = {{SERVICE SYSTEMS PSS; PRODUCT-SERVICE; REVERSE LOGISTICS; SUPPLY CHAIN;
   SERVITIZATION; SUSTAINABILITY; OPPORTUNITIES; CAPABILITIES; CHALLENGES;
   STRATEGIES}},
Research-Areas = {{Science \& Technology - Other Topics; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{GREEN \& SUSTAINABLE SCIENCE \& TECHNOLOGY; Environmental Sciences;
   Environmental Studies}},
Author-Email = {{g.bressanelli002@unibs.it
   federico.adrodegari@unibs.it
   marco.perona@unibs.it
   nicola.saccani@unibs.it}},
Funding-Acknowledgement = {{European Union {[}609005]}},
Funding-Text = {{The authors would like to acknowledge the three anonymous reviewers for
   their helpful suggestions and constructive criticisms. The work
   described in this document has been conducted as part of the project
   T-REX (Lifecycle Extension through Product Redesign and Repair,
   Renovation, Reuse, Recycle Strategies For Usage \& Reusage-Oriented
   Business Model), research project funded by the European Union Seventh
   Framework Programme (FP7/2007-2013) under grant agreement no. 609005.
   For more details visit: http://t-rex-fp7.}},
Cited-References = {{Adrodegari F, 2017, PROD PLAN CONTROL, V28, P1251, DOI 10.1080/09537287.2017.1363924.
   Adrodegari F, 2017, SERV IND J, V37, P57, DOI 10.1080/02642069.2017.1289514.
   Alghisi A., 2015, PROD PLAN CONTROL.
   Allmendinger G, 2005, HARVARD BUS REV, V83, P131.
   Ardolino M., 2017, INT J PROD RES, P1.
   Baden-Fuller C., 2010, BUS MODEL.
   Baines T, 2014, INT J OPER PROD MAN, V34, P2, DOI 10.1108/IJOPM-02-2012-0086.
   Bakker C, 2014, J CLEAN PROD, V69, P10, DOI 10.1016/j.jclepro.2014.01.028.
   Barquet APB, 2013, IND MARKET MANAG, V42, P693, DOI 10.1016/j.indmarman.2013.05.003.
   Bocken NMP, 2016, J IND PROD ENG, V33, P308, DOI 10.1080/21681015.2016.1172124.
   Braungart M, 2007, J CLEAN PROD, V15, P1337, DOI 10.1016/j.jclepro.2006.08.003.
   Cenamor J, 2017, INT J PROD ECON, V192, P54, DOI 10.1016/j.ijpe.2016.12.033.
   Cheng CY, 2010, INT J PROD RES, V48, P1, DOI 10.1080/00207540802389235.
   Cohen B, 2014, ORGAN ENVIRON, V27, P279, DOI 10.1177/1086026614546199.
   Despeisse M, 2017, TECHNOL FORECAST SOC, V115, P75, DOI 10.1016/j.techfore.2016.09.021.
   Dimache A., 2013, INT J OPER PROD MAN.
   Ellen Macarthur Foundation, 2012, CIRC EC EC BUS RAT A.
   Ellen MacArthur Foundation, 2016, INT ASS UNL CIRC EC.
   Ellen MacArthur Foundation, 2015, GROWTH CIRC EC VIS C.
   Firnkorn J, 2011, ECOL ECON, V70, P1519, DOI 10.1016/j.ecolecon.2011.03.014.
   Franco MA, 2017, J CLEAN PROD, V168, P833, DOI 10.1016/j.jclepro.2017.09.056.
   Geissdoerfer M, 2017, J CLEAN PROD, V143, P757, DOI 10.1016/j.jclepro.2016.12.048.
   Geng Y, 2008, INT J SUST DEV WORLD, V15, P231, DOI 10.3843/SusDev.15.3:6.
   Ghisellini P, 2016, J CLEAN PROD, V114, P11, DOI 10.1016/j.jclepro.2015.09.007.
   Go TF, 2015, J CLEAN PROD, V95, P16, DOI 10.1016/j.jclepro.2015.02.065.
   Govindan K, 2015, EUR J OPER RES, V240, P603, DOI 10.1016/j.ejor.2014.07.012.
   Henry G. T., 2009, SAGE HDB APPL SOCIAL.
   Jabbour C. J. C., 2017, TECHNOL FORECAST SOC.
   Kalverkamp M, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9091540.
   Kamp B, 2017, IND MARKET MANAG, V60, P11, DOI 10.1016/j.indmarman.2016.12.008.
   Kirchherr J, 2017, RESOUR CONSERV RECY, V127, P221, DOI 10.1016/j.resconrec.2017.09.005.
   Kujala S., 2010, INT J PROJ MANAG.
   Kumar S, 2008, INT J PROD ECON, V115, P305, DOI 10.1016/j.ijpe.2007.11.015.
   Lenka S, 2017, PSYCHOL MARKET, V34, P92, DOI 10.1002/mar.20975.
   Lewandowski M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8010043.
   Lieder M, 2016, J CLEAN PROD, V115, P36, DOI 10.1016/j.jclepro.2015.12.042.
   Linder M, 2017, BUS STRATEG ENVIRON, V26, P182, DOI 10.1002/bse.1906.
   Masi D, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9091602.
   Mccarthy E. J., 1964, ACAD MARK SCI.
   Michelini RC, 2004, RESOUR CONSERV RECY, V42, P83, DOI 10.1016/j.resconrec.2004.02.005.
   Mont Oksana, 2008, International Journal of Product Development, V6, P227, DOI 10.1504/IJPD.2008.020395.
   Mont O, 2006, J CLEAN PROD, V14, P1509, DOI 10.1016/j.jclepro.2006.01.024.
   Murray A, 2017, J BUS ETHICS, V140, P369, DOI 10.1007/s10551-015-2693-2.
   Neely A., 2008, OPERATIONS MANAGEMEN, V1, P103, DOI DOI 10.1007/S12063-009-0015-5.
   Nobre GC, 2017, SCIENTOMETRICS, V111, P463, DOI 10.1007/s11192-017-2281-6.
   Pagoropoulos A, 2017, PROC CIRP, V64, P19, DOI 10.1016/j.procir.2017.02.047.
   Parida V, 2014, RES TECHNOL MANAGE, V57, P44, DOI 10.5437/08956308X5703227.
   Park JY, 2014, J ENVIRON MANAGE, V137, P45, DOI 10.1016/j.jenvman.2013.11.053.
   Pialot O, 2017, J CLEAN PROD, V141, P538, DOI 10.1016/j.jclepro.2016.08.161.
   Porter ME, 2014, HARVARD BUS REV, V92, P64.
   Reim W, 2015, J CLEAN PROD, V97, P61, DOI 10.1016/j.jclepro.2014.07.003.
   Rust R. T., 2014, MARK SCI.
   Rymaszewska A, 2017, INT J PROD ECON, V192, P92, DOI 10.1016/j.ijpe.2017.02.016.
   Saccani N, 2017, INT J PROD ECON, V183, P1, DOI 10.1016/j.ijpe.2016.09.021.
   Spring M, 2017, IND MARKET MANAG, V60, P126, DOI 10.1016/j.indmarman.2016.07.001.
   Tecchio P, 2017, J CLEAN PROD, V168, P1533, DOI {[}10.1016/j.jcIepro.2017.05.198, 10.1016/j.jclepro.2017.05.198].
   Tukker A., 2004, BUSINESS STRATEGY EN, P246, DOI DOI 10.1002/BSE.414.
   Tukker A, 2006, J CLEAN PROD, V14, P1552, DOI 10.1016/j.jclepro.2006.01.022.
   Tukker A, 2015, J CLEAN PROD, V97, P76, DOI 10.1016/j.jclepro.2013.11.049.
   Turunen T., 2014, EUR MANAG J.
   Van Loon P., 2017, INT J PROD RES, P1.
   Voss C, 2002, INT J OPER PROD MAN, V22, P195, DOI 10.1108/01443570210414329.
   Wise R., 1999, HARV BUS REV.
   Yin R. K., 2009, CASE STUDY RES DESIG.}},
Number-of-Cited-References = {{64}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{24}},
Usage-Count-Since-2013 = {{24}},
Journal-ISO = {{Sustainability}},
Doc-Delivery-Number = {{GA8DA}},
Unique-ID = {{ISI:000428567100066}},
OA = {{gold}},
DA = {{2018-07-05}},
}

@article{ ISI:000426911000001,
Author = {Heynicke, Ralf and Krush, Dmytro and Cammin, Christoph and Scholl, Gerd
   and Kaercher, Bernd and Ritter, Jochen and Gaggero, Pascal and
   Rentschler, Markus},
Title = {{IO-Link Wireless enhanced factory automation communication for Industry
   4.0 applications}},
Journal = {{JOURNAL OF SENSORS AND SENSOR SYSTEMS}},
Year = {{2018}},
Volume = {{7}},
Number = {{1}},
Pages = {{131-142}},
Month = {{MAR 6}},
Abstract = {{In the context of the Industry 4.0 initiative, Cyber-Physical Production
   Systems (CPPS) or Cyber Manufacturing Systems (CMS) can be characterized
   as advanced networked mechatronic production systems gaining their added
   value by interaction with the ambient Industrial Internet of Things
   (IIoT). In this context appropriate communication technologies and
   standards play a vital role to realize the manifold potential
   improvements in the production process. One of these standards is
   IO-Link. In 2016 more than 5 million IO-Link nodes have been produced
   and delivered, still gaining increasing acceptance for the communication
   between sensors, actuators and the control level. The steadily
   increasing demand for more flexibility in automation solutions can be
   fulfilled using wireless technologies. With the wireless extension for
   the IO-Link standard, which will be presented in this article, maximum
   cycle times of 5 ms can be achieved with a probability that this limit
   will be exceeded to be at maximum one part per billion. Also roaming
   capabilities, wireless coexistence mechanisms and the possibility to
   include battery-powered or energy-harvesting sensors with very limited
   energy resources in the realtime network were defined. For system
   planning, setup, operation and maintenance, the standard engineering
   tools of IO-Link can be employed so that the backward compatibility with
   wired IO-Link solutions can be guaranteed. Interoperability between
   manufacturers is a key requirement for any communication standard, thus
   a procedure for IO-Link Wireless testing is also suggested.}},
Publisher = {{COPERNICUS GESELLSCHAFT MBH}},
Address = {{BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Krush, D (Reprint Author), Univ Fed Armed Forces Hamburg, Helmut Schmidt Univ, Holstenhofweg 85, D-22043 Hamburg, Germany.
   Heynicke, Ralf; Krush, Dmytro; Cammin, Christoph; Scholl, Gerd, Univ Fed Armed Forces Hamburg, Helmut Schmidt Univ, Holstenhofweg 85, D-22043 Hamburg, Germany.
   Kaercher, Bernd; Ritter, Jochen, Festo AG \& Co KG, CRC MC, Mechatron Components Res, Ruiter Str 82, D-73734 Esslingen, Germany.
   Gaggero, Pascal, Balluff AG, Innovat Management, Keltenstr 49, CH-2564 Bellmund, Switzerland.
   Rentschler, Markus, Balluff GmbH, Business Unit Networking, Schurwaldstr 9, D-73765 Neuhausen, Germany.}},
DOI = {{10.5194/jsss-7-131-2018}},
ISSN = {{2194-8771}},
EISSN = {{2194-878X}},
Keywords-Plus = {{SENSOR/ACTUATOR NETWORK; REVERBERATION CHAMBERS; DEVICES}},
Research-Areas = {{Instruments \& Instrumentation}},
Web-of-Science-Categories  = {{Instruments \& Instrumentation}},
Author-Email = {{dmytro.krush@hsu-hh.de}},
Cited-References = {{ABB, 2006, WIR AUT WISA CONC.
   {[}Anonymous], 2013, 611319 IEC.
   {[}Anonymous], 2007, 2185 VDIVDE.
   {[}Anonymous], 2016, 62591 IEC.
   {[}Anonymous], 62948 IEC.
   {[}Anonymous], 2005, 802151 IEEE.
   {[}Anonymous], 2015, 802154 IEEE.
   {[}Anonymous], 2012, IEEE 802 11 WLAN IEE.
   Balluff GmbH, 2013, WE SPEAK IO LINK EV.
   Cammin C., 2016, 2016 IEEE INT C EM T, P1, DOI DOI 10.1109/ETFA.2016.7733593.
   Cammin C., 2017, P AMA C 2017, P151, DOI {[}10.5162/sensor2017/A8.4, DOI 10.5162/SENSOR2017/A8.4].
   Cammin C, 2017, TM-TECH MESS, V84, pS106, DOI 10.1515/teme-2017-0049.
   Chen XM, 2011, IEEE ANTENN WIREL PR, V10, P1437, DOI 10.1109/LAWP.2011.2179910.
   Coder JB, 2010, IEEE INT SYMP ELEC, P530, DOI 10.1109/ISEMC.2010.5711332.
   Corona P, 2000, IEEE T ELECTROMAGN C, V42, P111, DOI 10.1109/15.852404.
   Dombrowski C., 2015, P EUR WIR C 2015 VDE, P1.
   Dombrowski C, 2016, SYM REL DIST SYST, P307, DOI {[}10.1109/SRDS.2016.46, 10.1109/SRDS.2016.048].
   ETSI, 2016, 300328 ETSI EN.
   ETSI, 2015, 300328 ETSI EN.
   Frotzscher A, 2014, IEEE INT CONF COMM, P67, DOI 10.1109/ICCW.2014.6881174.
   Heynicke R., 2017, P AMA C 2017 SENSOR, P134, DOI {[}10.5162/sensor2017/A8.1, DOI 10.5162/SENSOR2017/A8.1].
   Holloway CL, 2006, IEEE T ANTENN PROPAG, V54, P3167, DOI 10.1109/TAP.2006.883987.
   Jeschke S, 2017, SP SER WIRELESS TECH, P3, DOI 10.1007/978-3-319-42559-7\_1.
   Kildal PS, 2012, IEEE T ANTENN PROPAG, V60, P3875, DOI 10.1109/TAP.2012.2201125.
   Koerber H.-J., 2008, Radio Control System, eP Patent, Patent No. {[}2 041 901 A1, 2041901].
   Korber HJ, 2007, IEEE T IND INFORM, V3, P111, DOI 10.1109/TII.2007.898451.
   KOSTAS JG, 1991, IEEE T ELECTROMAGN C, V33, P366, DOI 10.1109/15.99120.
   Krdotuger D., 2012, 2012 9 INT MULT SYST, P1, DOI DOI 10.1109/SSD.2012.6198099.
   Krueger D., 2017, THESIS.
   Krush D, 2016, TM-TECH MESS, V83, P201, DOI 10.1515/teme-2015-0118.
   Lotback CSP, 2015, IET SCI MEAS TECHNOL, V9, P555, DOI 10.1049/iet-smt.2014.0290.
   OPC Foundation, UN ARCH.
   OPC Foundation, WHAT IS OPC.
   OPC Foundation, IO LINK.
   Phoenix Contact, EPA 2 NEW GEN OUR ET.
   Phoenix Contact, FACT BLUET EPA ROB E.
   Phoenix Contact, IND WIR WIR SENS NET.
   Phoenix Contact, WIR I O COMP PROD.
   R3coms, CALC ECHORING.
   Rappaport T., 2001, WIRELESS COMMUNICATI.
   Rentschler M., 2017, 2017 IEEE 22 INT C E, P1.
   Rentschler M, 2016, IEEE INTL CONF IND I, P26, DOI 10.1109/INDIN.2016.7819128.
   Rosengren K., 2001, IEEE Antennas and Propagation Society International Symposium. 2001 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (Cat. No.01CH37229), P350, DOI 10.1109/APS.2001.960105.
   Schwab A. J., 2011, ELEKTROMAGNETISCHE V, P6.
   Shankar P. M., 2012, FADING SHADOWING WIR.
   Vallestad A. E., 2012, ABB CORPORATE RES WI.
   VDI/VDE-Gesellschaft fur Mess- und Automatisierungstechnik, 2013, CYB PHYS SYST CHANC.
   Verhappen I., 2016, WIA PA WIA FA BE ADD.
   Weczerek J., 2010, WIR TECHN 12 K 22 23.}},
Number-of-Cited-References = {{49}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{8}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{J. Sens. Sens. Systems}},
Doc-Delivery-Number = {{FY5XH}},
Unique-ID = {{ISI:000426911000001}},
OA = {{gold}},
DA = {{2018-07-05}},
}

@article{ ISI:000429266400042,
Author = {Schluse, Michael and Priggemeyer, Marc and Atorf, Linus and Rossmann,
   Juergen},
Title = {{Experimentable Digital Twins-Streamlining Simulation-Based Systems
   Engineering for Industry 4.0}},
Journal = {{IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS}},
Year = {{2018}},
Volume = {{14}},
Number = {{4}},
Pages = {{1722-1731}},
Month = {{APR}},
Abstract = {{Digital twins represent real objects or subjects with their data,
   functions, and communication capabilities in the digital world. As nodes
   within the internet of things, they enable networking and thus the
   automation of complex value-added chains. The application of simulation
   techniques brings digital twins to life and makes them experimentable;
   digital twins become experimentable digital twins (EDTs). Initially,
   these EDTs communicate with each other purely in the virtual world. The
   resulting networks of interacting EDTs model different application
   scenarios and are simulated in virtual testbeds, providing new
   foundations for comprehensive simulation-based systems engineering. Its
   focus is on EDTs, which become more detailed with every single
   application. Thus, complete digital representations of the respective
   real assets and their behaviors are created successively. The networking
   of EDTs with real assets leads to hybrid application scenarios in which
   EDTs are used in combination with real hardware, thus realizing complex
   control algorithms, innovative user interfaces, or mental models for
   intelligent systems.}},
Publisher = {{IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC}},
Address = {{445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Schluse, M (Reprint Author), Rhein Westfal TH Aachen, Inst Man Machine Interact, D-52062 Aachen, Germany.
   Schluse, Michael; Priggemeyer, Marc; Atorf, Linus; Rossmann, Juergen, Rhein Westfal TH Aachen, Inst Man Machine Interact, D-52062 Aachen, Germany.}},
DOI = {{10.1109/TII.2018.2804917}},
ISSN = {{1551-3203}},
EISSN = {{1941-0050}},
Keywords = {{eRobotics; experimentable digital twin (EDT); intelligent systems;
   simulation-based systems engineering; simulation-based X; virtual
   testbed (VTB)}},
Research-Areas = {{Automation \& Control Systems; Computer Science; Engineering}},
Web-of-Science-Categories  = {{Automation \& Control Systems; Computer Science, Interdisciplinary
   Applications; Engineering, Industrial}},
Author-Email = {{schluse@mmi.rwth-aachen.de
   priggemeyer@mmi.rwth-aachen.de
   atorf@mmi.rwth-aachen.de
   rossmann@mmi.rwth-aachen.de}},
Funding-Acknowledgement = {{European Union {[}680431]}},
Funding-Text = {{The ReconCell project was supported by the European Union's Horizon 2020
   Research and Innovation Program under Grant 680431.}},
Cited-References = {{Abel D., 2006, RAPID CONTROL PROTOT.
   {[}Anonymous], 2017, SIMMECHANICS.
   {[}Anonymous], 2017, RECONFIGURABLE ROBOT.
   {[}Anonymous], 2016, 3633 VDI 1.
   Banks J., 2010, DISCRETE EVENT SYSTE.
   Coppelia Robotics Software, 2017, V REP.
   Fritzson P., 2003, PRINCIPLES OBJECT OR.
   INCOSE, 2014, SYST ENG VIS 2025.
   Kadry S., 2015, E SYSTEMS 21 CENTURY.
   LUENBERGER DG, 1964, IEEE T MIL ELECTRON, VMIL8, P74, DOI 10.1109/TME.1964.4323124.
   POWELL MJD, 1964, COMPUT J, V7, P155, DOI 10.1093/comjnl/7.2.155.
   Rossmann Jurgen, 2013, 1st International Simulation Tools Conference \& EXPO 2013 (SIMEX'2013), P39.
   Rossmann J., 2017, P WINTESYS 2017 PAD, P281.
   Rossmann J, 2014, KUNSTL INTELL, V28, P101, DOI 10.1007/s13218-014-0298-z.
   Schlette C., 2014, P INT S ROB ISR ROB, P750.
   Schluse M, 2017, ANN IEEE SYST CONF, P628.
   Virtual Commissioning, 2016, 3693 VDIVDE.
   WGP-Standpunkt Industrie 4.0, 2016, WGP STANDPUNKT IND 4.}},
Number-of-Cited-References = {{18}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{30}},
Usage-Count-Since-2013 = {{30}},
Journal-ISO = {{IEEE Trans. Ind. Inform.}},
Doc-Delivery-Number = {{GB7PK}},
Unique-ID = {{ISI:000429266400042}},
DA = {{2018-07-05}},
}

@article{ ISI:000434911600025,
Author = {Saucedo-Martinez, Jania Astrid and Perez-Lara, Magdiel and
   Marmolejo-Saucedo, Jose Antonio and Salais-Fierro, Tomas Eloy and
   Vasant, Pandian},
Title = {{Industry 4.0 framework for management and operations: a review}},
Journal = {{JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING}},
Year = {{2018}},
Volume = {{9}},
Number = {{3, SI}},
Pages = {{789-801}},
Month = {{JUN}},
Abstract = {{The evolution of markets and customer requirements with highest level of
   precision, has been achieved created with technology and information
   systems, a new way of make the operations in the companies, and just the
   companies with the ability to adapt faster to technological innovations
   may remain on the market. The last industrial revolution, known as
   industry 4.0 perceives the operations as a holistic system, its
   represents a challenge that must be fulfilled and faced in order to
   achieve stability and permanence in the market, from the point of view
   of the world economies. In the organizational and business area all the
   operations must be linked to computer systems and management of
   information in the network, which causes greater efficiency in the flow.
   With this new perception of industry and the business, it involves
   different analytical tools that aim at bigger efficiency in the service
   to the consumers, resulting in a greater competitiveness in the market
   and making the differentiator. This work is one of the first surveys
   that provides an extensive analysis and review of 110 publications that
   appear from 1/01/12 to 20/02/17. The purpose of the study is to analyze
   categorically recent advances through qualitative and segmentation
   methods allowing to reveal trends and areas of opportunity in the
   industry sense of 4.0 in order to obtain research gaps that may be
   executed in organizational systems on the value chain. Another point is
   to be a reference in future research related to the categories selected
   in this study.}},
Publisher = {{SPRINGER HEIDELBERG}},
Address = {{TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Marmolejo-Saucedo, JA (Reprint Author), Univ Panamer, Fac Ingn, Augusto Rodin 498, Mexico City 03920, DF, Mexico.
   Saucedo-Martinez, Jania Astrid; Perez-Lara, Magdiel; Salais-Fierro, Tomas Eloy, Univ Autonoma Nuevo Leon, Fac Ingn Mecn \& Elect, Ciudad Univ, San Nicolas De Los Garza, Nuevo Leon, Mexico.
   Marmolejo-Saucedo, Jose Antonio, Univ Panamer, Fac Ingn, Augusto Rodin 498, Mexico City 03920, DF, Mexico.
   Vasant, Pandian, Univ Teknol PETRONAS, Fac Sci \& Informat Technol, Seri Iskandar 32610, Perak Darul Rid, Malaysia.}},
DOI = {{10.1007/s12652-017-0533-1}},
ISSN = {{1868-5137}},
EISSN = {{1868-5145}},
Keywords = {{Business model; Value chain; Organizational system; Industry 4.0;
   Information technologies}},
Keywords-Plus = {{CYBER-PHYSICAL SYSTEM; SMART MANUFACTURING SYSTEMS; SUPPLY NETWORKS;
   MODEL; CONTEXT; IMPLEMENTATION; OPPORTUNITIES; TECHNOLOGIES;
   PERFORMANCE; AUTOMATION}},
Research-Areas = {{Computer Science; Telecommunications}},
Web-of-Science-Categories  = {{Computer Science, Artificial Intelligence; Computer Science, Information
   Systems; Telecommunications}},
Author-Email = {{jmarmolejo@up.edu.mx
   magdiel.perezlr@uanl.edu.mx
   jania.saucedomrt@uanl.edu.mx
   tomas.salaisfr@uanl.edu.mx
   pvasant@gmail.com}},
Cited-References = {{Albers A, 2016, PROC CIRP, V52, P262, DOI 10.1016/j.procir.2016.07.067.
   Amin SAA, 2016, COMPUT ELECTR ENG, V52, P183, DOI 10.1016/j.compeleceng.2015.05.012.
   Anderl R, 2014, P INT S ROB JUN, P1.
   Arca JG, 2011, 15 C ING ORG CART 7, P712.
   Bagheri B, 2015, IFAC PAPERSONLINE, V48, P1622, DOI 10.1016/j.ifacol.2015.06.318.
   Bahrin MAK, 2016, J TEKNOL, V78, P137.
   Bartodziej CJ, 2016, CONCEPT IND 4 0 EMPI.
   Batista NC, 2017, ENERG BUILDINGS, V141, P16, DOI 10.1016/j.enbuild.2017.02.039.
   Bauer W, 2015, PROCEDIA MANUF, V3, P417, DOI 10.1016/j.promfg.2015.07.200.
   Bogers M, 2016, TECHNOL FORECAST SOC, V102, P225, DOI 10.1016/j.techfore.2015.07.024.
   Botthof A, 2014, ZUKUNFT ARBEIT IND 4.
   Botthof A, 2015, ZUKUNFT ARBEIT IND 4, P3.
   Brettel M, 2016, PROC CIRP, V41, P93, DOI 10.1016/j.procir.2015.12.065.
   Brettel M, 2016, PROC CIRP, V41, P105, DOI 10.1016/j.procir.2015.12.047.
   Chen F, 2015, INT J DISTRIB SENS N, DOI 10.1155/2015/431047.
   Dachyar M, 2014, IOP C SERIES MAT SCI, V58.
   Davis J, 2012, COMPUT CHEM ENG, V47, P145, DOI 10.1016/j.compchemeng.2012.06.037.
   Dombrowski U, 2014, PROC CIRP, V17, P100, DOI 10.1016/j.procir.2014.01.077.
   Elo S, 2014, SAGE OPEN, V4, DOI 10.1177/2158244014522633.
   Esmaeilian B, 2016, J MANUF SYST, V39, P79, DOI 10.1016/j.jmsy.2016.03.001.
   Faller C, 2015, PROC CIRP, V32, P88, DOI 10.1016/j.procir.2015.02.117.
   Fedorov A, 2015, PROCEDIA ENGINEER, V100, P1572, DOI 10.1016/j.proeng.2015.01.530.
   Ferro C, 2016, PROC CIRP, V41, P1004, DOI 10.1016/j.procir.2015.12.104.
   Foidl H, 2016, LECT NOTES BUS INF P, V245, P121, DOI 10.1007/978-3-319-32799-0\_10.
   Forstner L, 2014, ELEKTROTECH INFORMAT, V131, P199, DOI 10.1007/s00502-014-0224-y.
   Gabriel M, 2016, ANN FAC ENG HUNEDOAR, V14, P131.
   Gao HH, 2015, 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP), P337, DOI 10.1109/IIH-MSP.2015.50.
   Gaub H, 2015, REINF PLAST.
   Gilchrist A, 2016, IND 4 0 IN PRESS, P153.
   Giret A, 2016, COMPUT IND, V81, P116, DOI 10.1016/j.compind.2016.02.002.
   Gruber FE, 2013, IFIP ADV INF COMM TE, V411, P36.
   Hermann M, 2016, P ANN HICSS, P3928, DOI 10.1109/HICSS.2016.488.
   Hogrebe F, 2015, HMD PRAXIS WIRTSCHAF, V52, P713.
   Hoppe S, 2014, CONTROL ENG, V48-50.
   Hossain MS, 2016, ADDIT MANUF, V10, P58, DOI 10.1016/j.addma.2016.01.001.
   Ivanov D, 2016, IFAC PAPERSONLINE, V49, P839, DOI 10.1016/j.ifacol.2016.07.879.
   Ji C, 2016, SENSORS-BASEL, V16, DOI 10.3390/s16030279.
   Ji X, 2016, ADV ENG SOFTW, V99, P18, DOI 10.1016/j.advengsoft.2016.04.010.
   Jonathan N, 2016, ELECT TELECOMMS CONN, P46.
   Juan-Verdejo A, 2016, IFIP ADV INF COMM TE, V470, P11, DOI 10.1007/978-3-319-31165-4\_2.
   Jung K, 2015, PROCEDIA COMPUT SCI, V44, P184, DOI 10.1016/j.procs.2015.03.051.
   Kagermann H, 2015, MANAGEMENT PERMANENT, P23, DOI DOI 10.1007/978-3-658-05014-6\_2.
   Kan M, 2016, PROC CIRP, V47, P489, DOI 10.1016/j.procir.2016.03.228.
   Kapoor M, 2014, PROCD SOC BEHV, V133, P203, DOI 10.1016/j.sbspro.2014.04.185.
   Khan A., 2016, ADV INTELLIGENT SYST, P15.
   Klemp E, 2016, HDB IND 4 0, V3, P311.
   Kolberg D, 2015, IFAC PAPERSONLINE, V48, P1870, DOI 10.1016/j.ifacol.2015.06.359.
   Kovar J, 2016, PROCEEDINGS OF THE 2016 17TH INTERNATIONAL CONFERENCE ON MECHATRONICS - MECHATRONIKA (ME) 2016, P1.
   Lacey A, 2001, QUALITATIVE DATA ANA, V46.
   Laghari S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0146760.
   Lasi H., 2014, WIRTSCHAFTSINF, V56, P261.
   Lee Jay, 2015, Manufacturing Letters, V3, P18, DOI 10.1016/j.mfglet.2014.12.001.
   Lee J, 2014, PROC CIRP, V16, P3, DOI 10.1016/j.procir.2014.02.001.
   Li X, 2015, REV IND WIRELESS NET.
   Long F, 2016, IFAC PAPERSONLINE, V49, P145, DOI 10.1016/j.ifacol.2016.07.565.
   Losch D, 2016, IEEE INT S ROB MAN A, P1.
   Ltifi M, 2015, PROC ECON FINANC, V23, P1347, DOI 10.1016/S2212-5671(15)00516-X.
   Lu XF, 2015, INT J DISTRIB SENS N, DOI 10.1155/2015/932941.
   Magruk A., 2016, BUSINESS MANAGEMENT, V14, P275.
   Maier MA, 2015, INT J COMMUN NETW DI, V15, P235, DOI 10.1504/IJCNDS.2015.070976.
   Matties B, 2016, SMT MAGAZINE, P1342.
   Mazak A, 2015, 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), P1342, DOI 10.1109/IEEM.2015.7385866.
   Moreno A, 2017, INT J INTERACT DES M, V11, P365, DOI 10.1007/s12008-016-0319-2.
   Mosterman PJ, 2016, SOFTW SYST MODEL, V15, P17, DOI 10.1007/s10270-015-0493-x.
   Neeraja B, 2014, PROC ECON FINANC, V11, P665, DOI 10.1016/S2212-5671(14)00232-9.
   Nowicka K, 2014, PROCD SOC BEHV, V151, P266, DOI 10.1016/j.sbspro.2014.10.025.
   Nowodzinski P, 2016, EUR SCI J, V12, P332.
   Pan M, 2015, ENRGY PROCED, V75, P1536, DOI 10.1016/j.egypro.2015.07.313.
   Pickett L, 2016, QUALITY, V55, pS12.
   Pickett L, 2016, QUAL MAG MANAGEMENT, V55, P36.
   Prause Martin, 2016, Journal of Technology Management \& Innovation, V11, P104.
   Qin J, 2016, PROC CIRP, V52, P173, DOI 10.1016/j.procir.2016.08.005.
   Quintana-Pena A, 2006, METODOLOGIA INVESTIG, P47.
   Radziwon A, 2014, PROCEDIA ENGINEER, V69, P1184, DOI 10.1016/j.proeng.2014.03.108.
   Ramachandran GS, 2016, J INTERNET SERV APPL, V7, DOI 10.1186/s13174-016-0047-7.
   Reinheimer S, 2015, HMD PRAXIS WIRTSCHAF, V52, P802.
   Reischauer G, 2015, CONTROL MANAG REV, V59, P22.
   Rennung F, 2016, PROCD SOC BEHV, V221, P372, DOI 10.1016/j.sbspro.2016.05.127.
   Sattler E, 2014, BHM BERGUND HUTTENMA, V159, P308.
   Schlechtendahl J, 2015, PROD ENG-RES DEV, V9, P143, DOI 10.1007/s11740-014-0586-3.
   Schlott S, 2013, AUTOMOBILTECHNISCHE, V115, P306.
   Scholz S, 2016, ROBOT CIM-INT MANUF, V40, P14, DOI 10.1016/j.rcim.2015.12.006.
   Schuh G, 2015, PROC CIRP, V32, P82, DOI 10.1016/j.procir.2015.02.213.
   Schuh G, 2014, PROC CIRP, V19, P51, DOI 10.1016/j.procir.2014.05.016.
   Schuh G, 2014, CIRP ANN-MANUF TECHN, V63, P433, DOI 10.1016/j.cirp.2014.03.121.
   Schumacher A, 2016, PROC CIRP, V52, P161, DOI 10.1016/j.procir.2016.07.040.
   Schut JH, 2016, PLAST ENG, V52, P10.
   Shafiq SI, 2015, PROCEDIA COMPUT SCI, V60, P1146, DOI 10.1016/j.procs.2015.08.166.
   Sherwin P, 2016, PROCESS INSTRUM, P12.
   Shrouf F, 2014, IN C IND ENG ENG MAN, P697, DOI 10.1109/IEEM.2014.7058728.
   Simonis K, 2016, IOP CONF SER-MAT SCI, V141, DOI 10.1088/1757-899X/141/1/012014.
   Sokolov B, 2015, IFAC PAPERSONLINE, V48, P1533, DOI 10.1016/j.ifacol.2015.06.304.
   Sprock T, 2015, IFAC PAPERSONLINE, V48, P1865, DOI 10.1016/j.ifacol.2015.06.358.
   Stock T, 2016, PROC CIRP, V40, P536, DOI 10.1016/j.procir.2016.01.129.
   Stojanovic L, 2016, 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), P1647, DOI 10.1109/BigData.2016.7840777.
   Stojkic Z, 2016, P 26 DAAAM INT S DAA, P912.
   Takano Y, 2016, J INFORMETR, V10, P967, DOI 10.1016/j.joi.2016.05.004.
   Thames L, 2016, PROC CIRP, V52, P12, DOI 10.1016/j.procir.2016.07.041.
   Thiel C, 2015, DATENSCHUTZ DATENSIC, V39, P663.
   Oesterreich TD, 2016, COMPUT IND, V83, P121, DOI 10.1016/j.compind.2016.09.006.
   Toro C, 2015, PROCEDIA COMPUT SCI, V60, P362, DOI 10.1016/j.procs.2015.08.143.
   Trappey A, 2016, ADV ENG INF.
   Trends, 2015, IND 4 0 US MANUFACTU, P4.
   Van den Abeele F, 2015, INT J DISTRIB SENS N, DOI 10.1155/2015/683425.
   Verdouw CN, 2016, J FOOD ENG, V176, P128, DOI 10.1016/j.jfoodeng.2015.11.009.
   Vyas D, 2016, INT J MOB HUM COMPUT, V8, P59, DOI 10.4018/IJMHCI.2016010103.
   Waldner F, 2015, ADV STRATEG MANAGE, V33, P347, DOI 10.1108/S0742-332220150000033009.
   Wang SY, 2016, COMPUT NETW, V101, P158, DOI 10.1016/j.comnet.2015.12.017.
   Weber RH, 2016, COMPUT LAW SECUR REV, V32, P715, DOI 10.1016/j.clsr.2016.07.002.
   Wende J, 2014, ELEKTROTECH INFORMAT, V131, P202, DOI 10.1007/s00502-014-0222-0.
   Weyer S, 2015, IFAC PAPERSONLINE, V48, P579, DOI 10.1016/j.ifacol.2015.06.143.
   Wieland U., 2014, CONTROLLING MANAGE R, V58, P80.
   Wolter M, 2015, IAB FORSCHUNGSBERICH, V8, P1.
   Zhang ZY, 2014, INT J UROL, V21, P40, DOI 10.1111/iju.12192.}},
Number-of-Cited-References = {{114}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{J. Ambient Intell. Humaniz. Comput.}},
Doc-Delivery-Number = {{GJ0BY}},
Unique-ID = {{ISI:000434911600025}},
DA = {{2018-07-05}},
}

@article{ ISI:000435418600005,
Author = {Rauch, Erwin and Dallasega, Patrick and Matt, Dominik T.},
Title = {{Complexity reduction in engineer-to-order industry through real-time
   capable production planning and control}},
Journal = {{PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT}},
Year = {{2018}},
Volume = {{12}},
Number = {{3-4}},
Pages = {{341-352}},
Month = {{JUN}},
Abstract = {{The engineer-to-order industry is under constant pressure to optimise
   production and handle complexity in the delivery of the right components
   at the right time. In many cases, e.g. in the building industry, they
   have to install their components at the construction site.
   Synchronisation between fabrication and on-site installation is
   difficult to realise with traditional planning techniques and
   instruments. The purpose of this study is to outline the potential of
   real-time-capable production planning and control in engineer-to-order
   companies as a successful approach to minimise time-dependent
   combinatorial complexity in the value chain. This research is based on
   axiomatic design theory in order to explain and confirm the hypothesis
   of complexity reduction through a near real-time feedback request at the
   installation site. We have demonstrated this through the information
   axiom of axiomatic design which states that complexity can be reduced to
   a minimum through a digitally automated continuous (re-)planning in
   order to avoid the system range shifting outside of the design range.
   Thus, the research team has described the first results of an industrial
   case study to develop a digital software tool to overcome this
   limitation. Our research contributes to complexity management in
   engineer-to-order manufacturing companies and further provides future
   direction towards digitalisation.}},
Publisher = {{SPRINGER HEIDELBERG}},
Address = {{TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Rauch, E (Reprint Author), Free Univ Bozen Bolzano, Fac Sci \& Technol, Univ Pl 5, I-39100 Bolzano, Italy.
   Rauch, Erwin; Dallasega, Patrick; Matt, Dominik T., Free Univ Bozen Bolzano, Fac Sci \& Technol, Univ Pl 5, I-39100 Bolzano, Italy.
   Matt, Dominik T., Fraunhofer Italia Res Scarl, IEC, Via Macello 57, I-39100 Bolzano, Italy.}},
DOI = {{10.1007/s11740-018-0809-0}},
ISSN = {{0944-6524}},
EISSN = {{1863-7353}},
Keywords = {{Complexity; Production planning and control; Engineer-to-order;
   Axiomatic design; Real-time capability; Industry 4.0}},
Keywords-Plus = {{FUNCTIONAL PERIODICITY; ETO-COMPANIES; ON-SITE; SYNCHRONIZATION; SYSTEMS}},
Research-Areas = {{Engineering}},
Web-of-Science-Categories  = {{Engineering, Manufacturing}},
Author-Email = {{erwin.rauch@unibz.it}},
Cited-References = {{Arashpour M, 2016, INT J PROJ MANAG, V34, P1393, DOI 10.1016/j.ijproman.2016.02.004.
   Arbulu R, 2006, P 14 ANN C INT GROUP, P215.
   Arica E, 2014, ADV MANUF, V2, P158, DOI 10.1007/s40436-014-0070-5.
   Ballard G, 1998, J CONSTR ENG M ASCE, V124, P11, DOI 10.1061/(ASCE)0733-9364(1998)124:1(11).
   Ballard G, 2004, P 12 ANN C INT GROUP, P3.
   BERTRAND JWM, 1993, INT J PROD ECON, V30-1, P3, DOI 10.1016/0925-5273(93)90077-X.
   Browne J, 1996, PRODUCTION MANAGEMEN.
   Cundius C, 2013, P 34 INT C INF SYST, P1.
   Dallasega P, 2016, P 24 ANN C INT GROUP, P32.
   Dallasega P, 2015, P INT C IND ENG OP M, P1.
   Dallasega P, 2015, P 4 INT WORKSH DES C, P30.
   Dallasega P, 2016, PROC CIRP, V57, P533, DOI 10.1016/1procir.2016.11.092.
   Dallasega P, 2015, PROC CIRP, V29, P215, DOI 10.1016/j.procir.2015.02.057.
   Efthymiou K, 2016, INT J COMPUT INTEG M, V29, P1025, DOI 10.1080/0951192X.2015.1130245.
   Georgiadis P, 2012, EUR J OPER RES, V216, P94, DOI 10.1016/j.ejor.2011.07.022.
   Georgoulias K, 2007, CIRP ANN-MANUF TECHN, V56, P423, DOI 10.1016/j.cirp.2007.05.101.
   Ghimire S, 2017, INT J COMPUT INTEG M, V30, P74, DOI 10.1080/0951192X.2015.1130242.
   Hashemipour M, 2017, J IND SYST ENG, V10, P61.
   Hon KKB, 2005, CIRP ANN-MANUF TECHN, V54, P675, DOI 10.1016/S0007-8506(07)60023-7.
   Lanza G, 2013, IN C IND ENG ENG MAN, P315, DOI 10.1109/IEEM.2013.6962425.
   Lincoln HF, 2011, MODERN CONSTRUCTION.
   Matt DT, 2007, KEY ENG MAT, V344, P865, DOI 10.4028/www.scientific.net/KEM.344.865.
   Matt DT, 2014, PROC CIRP, V17, P457, DOI 10.1016/j.procir.2014.01.058.
   Matt DT, 2011, KEY ENG MATER, V473, P783, DOI 10.4028/www.scientific.net/KEM.473.783.
   Matt DT, 2010, PROD ENG-RES DEV, V4, P363, DOI 10.1007/s11740-010-0247-0.
   Matt DT, 2010, FUTURE MANUFACTURING, P179.
   Mourtzis D, 2015, P INT MECH ENG C EXP, DOI {[}10.1115/IMECE2015-53025, DOI 10.1115/IMECE2015-53025].
   Papadopoulou PC, 2013, THESIS, P20.
   Park GJ, 2007, ANAL METHODS DESIGN.
   Schuh G, 2007, CIRP ANN-MANUF TECHN, V56, P439, DOI 10.1016/j.cirp.2007.05.105.
   Schuh G, 2012, ENABLING MANUFACTURI, P557.
   Suh N, 1990, PRINCIPLES DESIGN.
   Suh NP, 2005, COMPLEXITY THEORY AP.
   Zobel D, 2008, ECHTZEITSYSTEME.}},
Number-of-Cited-References = {{34}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{Prod. Eng.-Res. Dev.}},
Doc-Delivery-Number = {{GJ5JZ}},
Unique-ID = {{ISI:000435418600005}},
DA = {{2018-07-05}},
}

@article{ ISI:000432509300002,
Author = {Mueller, Julian Marius and Buliga, Oana and Voigt, Kai-Ingo},
Title = {{Fortune favors the prepared: How SMEs approach business model
   innovations in Industry 4.0}},
Journal = {{TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE}},
Year = {{2018}},
Volume = {{132}},
Pages = {{2-17}},
Month = {{JUL}},
Abstract = {{The article analyzes how Industry 4.0 triggers changes in the business
   models of manufacturing SMEs (small and medium-sized enterprises), by
   conducting a qualitative research with a sample of 68 German SMEs from
   three industries (automotive suppliers, mechanical and plant
   engineering, as well as electrical engineering and ICT). As SMEs play an
   essential role in industrial value creation, the article examines
   significant, yet at present understudied implications of Industry 4.0
   along industrial value chains. First, the results show that Industry 4.0
   encompasses three dimensions, namely high-grade digitization of
   processes, smart manufacturing, and intercompany connectivity. Second,
   the article shows how Industry 4.0 affects the three business model
   elements of manufacturing SMEs - value creation, value capture, and
   value offer - by giving specific examples for business model innovation
   in each of the three elements. Third, it shows that both the role as a
   user and/or provider of Industry 4.0 and whether a company is internally
   motivated and/or extemally pressured towards implementation have an
   impact on which business model elements are innovated. Fourth, the study
   delineates four SME categories, designed to help managers to evaluate
   their own company's positioning towards Industry 4.0: craft
   manufacturers, preliminary stage planners, Industry 4.0 users, and
   full-scale adopters.}},
Publisher = {{ELSEVIER SCIENCE INC}},
Address = {{360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Muller, JM (Reprint Author), Friedrich Alexander Univ Erlangen Nurnberg, Sch Business \& Econ, Lange Gasse 20, D-90403 Nurnberg, Germany.
   Mueller, Julian Marius; Buliga, Oana; Voigt, Kai-Ingo, Friedrich Alexander Univ Erlangen Nurnberg, Sch Business \& Econ, Lange Gasse 20, D-90403 Nurnberg, Germany.}},
DOI = {{10.1016/j.techfore.2017.12.019}},
ISSN = {{0040-1625}},
EISSN = {{1873-5509}},
Keywords = {{Industry 4.0; Business model innovation; Manufacturing industry; SME;
   Multiple case study}},
Keywords-Plus = {{OF-THE-ART; SERVICE STRATEGIES; RESEARCH AGENDA; SMART; FUTURE; SYSTEMS;
   OPPORTUNITIES; COMPANIES; PRODUCTS; ENTREPRENEURSHIP}},
Research-Areas = {{Business \& Economics; Public Administration}},
Web-of-Science-Categories  = {{Business; Planning \& Development}},
Author-Email = {{julian.mueller@fau.de}},
ORCID-Numbers = {{Muller, Julian/0000-0002-7372-2405}},
Cited-References = {{Airaksinen A., 2015, STAT SMALL MEDIUMSIZ.
   Arnold C, 2016, INT J INNOV MANAG, V20, DOI 10.1142/S1363919616400156.
   Aspara J, 2013, LONG RANGE PLANN, V46, P459, DOI 10.1016/j.lrp.2011.06.001.
   Baden-Fuller C, 2013, LONG RANGE PLANN, V46, P419, DOI 10.1016/j.lrp.2013.08.023.
   Baden-Fuller C, 2013, STRATEG ORGAN, V11, P418, DOI 10.1177/1476127013510112.
   Baden-Fuller C, 2010, LONG RANGE PLANN, V43, P156, DOI 10.1016/j.lrp.2010.02.005.
   BARNEY J, 1991, J MANAGE, V17, P99, DOI 10.1177/014920639101700108.
   Bjorkdahl J., 2013, INT J PROD DEV, V18, P213.
   Blumberg B.F., 2014, BUSINESS RES METHODS.
   Bocken NMP, 2014, J CLEAN PROD, V65, P42, DOI 10.1016/j.jclepro.2013.11.039.
   Bouncken RB, 2016, J BUS RES, V69, P5196, DOI 10.1016/j.jbusres.2016.04.112.
   BRESNAHAN TF, 1995, J ECONOMETRICS, V65, P83, DOI 10.1016/0304-4076(94)01598-T.
   Bryman A, 2011, BUSINESS RES METHODS.
   Buonanno G, 2005, J ENTERP INF MANAG, V18, P384, DOI 10.1108/17410390510609572.
   Casadesus-Masanell R, 2013, STRATEGIC MANAGE J, V34, P464, DOI 10.1002/smj.2022.
   Channaz K., 2006, CONSTRUCTING GROUNDE.
   Chesbrough H, 2002, IND CORP CHANGE, V11, P529, DOI 10.1093/icc/11.3.529.
   Chesbrough H., 2007, STRATEGY LEADERSHIP, V35, P12, DOI DOI 10.1108/10878570710833714.
   Chesbrough H, 2010, LONG RANGE PLANN, V43, P354, DOI 10.1016/j.lrp.2009.07.010.
   Chryssolouris G, 2013, PROC CIRP, V7, P17, DOI 10.1016/j.procir.2013.05.004.
   Clauss T, 2017, R\&D MANAGE, V47, P385, DOI 10.1111/radm.12186.
   Coles C. B., 2004, J BUS STRAT, V25, P16, DOI DOI 10.1108/02756660410515976.
   Cusumano MA, 2015, STRATEGIC MANAGE J, V36, P559, DOI 10.1002/smj.2235.
   DaSilva CM, 2014, LONG RANGE PLANN, V47, P379, DOI 10.1016/j.lrp.2013.08.004.
   Davies A, 2007, IND MARKET MANAG, V36, P183, DOI 10.1016/j.indmarman.2006.04.009.
   Davis J, 2012, COMPUT CHEM ENG, V47, P145, DOI 10.1016/j.compchemeng.2012.06.037.
   De Reuver M, 2013, INT J INNOV MANAG, V17, DOI 10.1142/S1363919613400069.
   Demil B, 2015, STRATEG ENTREP J, V9, P1, DOI 10.1002/sej.1194.
   Duriau VJ, 2007, ORGAN RES METHODS, V10, P5, DOI 10.1177/1094428106289252.
   Eggert A, 2014, J SERV RES-US, V17, P23, DOI 10.1177/1094670513485823.
   Ehret M, 2017, J MARKET MANAG-UK, V33, P111, DOI 10.1080/0267257X.2016.1248041.
   Eisenhardt KM, 2007, ACAD MANAGE J, V50, P25, DOI 10.5465/AMJ.2007.24160888.
   EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557.
   Enkel E, 2013, INT J INNOV MANAG, V17, DOI 10.1142/S1363919613400057.
   Eppler MJ, 2011, INT J INNOV MANAG, V15, P1323, DOI 10.1142/S1363919611003751.
   Ernkvist M, 2015, TECHNOL FORECAST SOC, V99, P285, DOI 10.1016/j.techfore.2015.02.001.
   Faller C, 2015, PROC CIRP, V32, P88, DOI 10.1016/j.procir.2015.02.117.
   Flammini A, 2009, MICROELECTRON J, V40, P1322, DOI 10.1016/j.mejo.2008.08.012.
   Foss NJ, 2017, J MANAGE, V43, P200, DOI 10.1177/0149206316675927.
   Frazzon EM, 2013, PROC CIRP, V7, P49, DOI 10.1016/j.procir.2013.05.009.
   Gambardella A, 2010, LONG RANGE PLANN, V43, P262, DOI 10.1016/j.lrp.2009.07.009.
   George G, 2011, ENTREP THEORY PRACT, V35, P83, DOI 10.1111/j.1540-6520.2010.00424.x.
   Gibbert M, 2008, STRATEGIC MANAGE J, V29, P1465, DOI 10.1002/smj.722.
   Giinzel F., 2013, INT J INNOV MANAG, V17.
   Gorecky D., 2014, P 2014 12 IEEE INT C.
   He W, 2015, INT J COMPUT INTEG M, V28, P239, DOI 10.1080/0951192X.2013.874595.
   Hermann M., 2016, P ANN HAW INT C SYST.
   Hirsch-Kreinsen H, 2016, J LABOUR MARK RES, V49, P1, DOI 10.1007/s12651-016-0200-6.
   Ferreira FNH, 2013, IND MARKET MANAG, V42, P1093, DOI 10.1016/j.indmarman.2013.07.010.
   Hossain MS, 2016, COMPUT NETW, V101, P192, DOI 10.1016/j.comnet.2016.01.009.
   Huang HC, 2013, J ORGAN CHANGE MANAG, V26, P977, DOI 10.1108/JOCM-04-2012-0047.
   HUBER GP, 1985, STRATEGIC MANAGE J, V6, P171, DOI 10.1002/smj.4250060206.
   IfM Bonn, 2016, KMU DEF.
   Ivanov D, 2016, INT J PROD RES, V54, P386, DOI 10.1080/00207543.2014.999958.
   Jiang R, 2017, TECHNOL FORECAST SOC, V117, P84, DOI 10.1016/j.techfore.2017.01.006.
   Johnson MW, 2008, HARVARD BUS REV, V86, P50.
   Kagermann H., 2013, FINAL REPORT IND 4 0.
   Kang HS, 2016, INT J PR ENG MAN-GT, V3, P111, DOI 10.1007/s40684-016-0015-5.
   Kiel D, 2017, INT J INNOV MANAG, V21, DOI 10.1142/S1363919617400151.
   Knight G, 2000, J INT MARKETING, V8, P12, DOI 10.1509/jimk.8.2.12.19620.
   Kolberg D, 2017, INT J PROD RES, V55, P2845, DOI 10.1080/00207543.2016.1223384.
   Kowalkowski C, 2013, IND MARKET MANAG, V42, P18, DOI 10.1016/j.indmarman.2012.11.004.
   Lasi H, 2014, BUS INFORM SYST ENG+, V6, P239, DOI 10.1007/s12599-014-0334-4.
   Lee J, 2014, PROC CIRP, V16, P3, DOI 10.1016/j.procir.2014.02.001.
   Lee Y, 2012, TECHNOL FORECAST SOC, V79, P832, DOI 10.1016/j.techfore.2011.10.008.
   Liao YX, 2017, INT J PROD RES, V55, P3609, DOI 10.1080/00207543.2017.1308576.
   Mahindru D.V., 2013, GLOBAL JOURNAL OF CO, V13, P27.
   Massa L, 2017, ACAD MANAG ANN, V11, P73, DOI 10.5465/annals.2014.0072.
   Mathieu V, 2001, INT J SERV IND MANAG, V12, P451, DOI 10.1108/EUM0000000006093.
   Maynard AD, 2015, NAT NANOTECHNOL, V10, P1005, DOI 10.1038/nnano.2015.286.
   Meyer GG, 2011, INT J PROD RES, V49, P1303, DOI 10.1080/00207543.2010.518742.
   Ng ICL, 2013, IND MARKET MANAG, V42, P730, DOI 10.1016/j.indmarman.2013.05.009.
   Oliva R, 2003, INT J SERV IND MANAG, V14, P160, DOI 10.1108/09564230310474138.
   Pfohl H.-C., 2015, INNOVATIONS STRATEGI, P31.
   Pike J., 2014, AT T CISCO GE IBM IN.
   Porter ME, 2015, HARVARD BUS REV, V93, P96.
   Potstada M, 2016, TECHNOL FORECAST SOC, V102, P182, DOI 10.1016/j.techfore.2015.07.020.
   Priem RL, 2007, ACAD MANAGE REV, V32, P219, DOI 10.5465/AMR.2007.23464055.
   Raddats C, 2010, IND MARKET MANAG, V39, P1334, DOI 10.1016/j.indmarman.2010.03.002.
   Radziwon A, 2014, PROCEDIA ENGINEER, V69, P1184, DOI 10.1016/j.proeng.2014.03.108.
   Raja JZ, 2013, J PROD INNOVAT MANAG, V30, P1128, DOI 10.1111/jpim.12050.
   Rayna T., 2015, TECHNOL FORECAST SOC, V102, P114.
   REN L, 2013, ENTERP INF SYST, V9, P186, DOI DOI 10.1080/17517575.2013.839055.
   Rennung F, 2016, PROCD SOC BEHV, V221, P372, DOI 10.1016/j.sbspro.2016.05.127.
   Robinson OC, 2014, QUAL RES PSYCHOL, V11, P25, DOI 10.1080/14780887.2013.801543.
   Sabatier V, 2012, TECHNOL FORECAST SOC, V79, P949, DOI 10.1016/j.techfore.2011.12.007.
   Sadeghi A.R., 2015, P 52 ACM EDAC IEEE D.
   Saebi T, 2017, LONG RANGE PLANN, V50, P567, DOI 10.1016/j.lrp.2016.06.006.
   Schaltegger S, 2016, ORGAN ENVIRON, V29, P264, DOI 10.1177/1086026616633272.
   Schlechtendahl J, 2015, PROD ENG-RES DEV, V9, P143, DOI 10.1007/s11740-014-0586-3.
   Schmidt R., 2015, P INT C BUS INF SYST, P16, DOI DOI 10.1007/978-3-319-19027-3\_2.
   Schneckenberg D, 2017, R\&D MANAGE, V47, P404, DOI 10.1111/radm.12205.
   Schneider S, 2013, INT J INNOV MANAG, V17, DOI 10.1142/S136391961340001X.
   Schuh G, 2014, PROC CIRP, V19, P51, DOI 10.1016/j.procir.2014.05.016.
   Shin SJ, 2014, PROC CIRP, V15, P153, DOI 10.1016/j.procir.2014.06.036.
   Sosna M, 2010, LONG RANGE PLANN, V43, P383, DOI 10.1016/j.lrp.2010.02.003.
   Spieth P., 2016, J BUSINESS EC, V86, P671, DOI DOI 10.1007/S11573-015-0794-0.
   Spieth P, 2016, R\&D MANAGE, V46, P403, DOI 10.1111/radm.12218.
   Spieth P, 2014, R\&D MANAGE, V44, P237, DOI 10.1111/radm.12071.
   Stock T, 2016, PROC CIRP, V40, P536, DOI 10.1016/j.procir.2016.01.129.
   Strauss A., 1998, BASICS QUALITATIVE R.
   Svejenova S, 2010, LONG RANGE PLANN, V43, P408, DOI 10.1016/j.lrp.2010.02.002.
   Taran Y, 2015, DECISION SCI, V46, P301, DOI 10.1111/deci.12128.
   Teece DJ, 2010, LONG RANGE PLANN, V43, P172, DOI 10.1016/j.lrp.2009.07.003.
   Oesterreich TD, 2016, COMPUT IND, V83, P121, DOI 10.1016/j.compind.2016.09.006.
   Timmers P., 1998, ELECTRON MARK, V8, P3, DOI DOI 10.1080/10196789800000016.
   Velu C, 2013, LONG RANGE PLANN, V46, P443, DOI 10.1016/j.lrp.2013.08.003.
   Veza I, 2015, IFAC PAPERSONLINE, V48, P555, DOI 10.1016/j.ifacol.2015.06.139.
   Visnjic I, 2016, J PROD INNOVAT MANAG, V33, P36, DOI 10.1111/jpim.12254.
   Visnjic Kastalli I, 2013, J OPER MANAG, V31, P169, DOI 10.1016/j.jom.2013.02.001.
   Vogel-Heuser B, 2016, IEEE T AUTOM SCI ENG, V13, P411, DOI 10.1109/TASE.2016.2523639.
   Voss C, 2002, INT J OPER PROD MAN, V22, P195, DOI 10.1108/01443570210414329.
   Wang J. -s., 2015, COMPUTATIONAL INTELL, V2015, P3.
   Weber E., 2016, IND 4 0 JOB PRODUCER.
   Wei ZL, 2014, J PROD INNOVAT MANAG, V31, P832, DOI 10.1111/jpim.12126.
   Wirtz BW, 2010, LONG RANGE PLANN, V43, P272, DOI 10.1016/j.lrp.2010.01.005.
   Wu JB, 2013, EUR MANAG J, V31, P359, DOI 10.1016/j.emj.2013.02.001.
   Xu LD, 2014, IEEE T IND INFORM, V10, P2233, DOI 10.1109/TII.2014.2300753.
   Xu X, 2012, ROBOT CIM-INT MANUF, V28, P75, DOI 10.1016/j.rcim.2011.07.002.
   Yin R. K., 2009, CASE STUDY RES DESIG.
   Yin R.K., 2014, CASE STUDY RES DESIG.
   Yunus M, 2010, LONG RANGE PLANN, V43, P308, DOI 10.1016/j.lrp.2009.12.005.
   Zhang YF, 2015, INT J COMPUT INTEG M, V28, P811, DOI 10.1080/0951192X.2014.900874.
   Zott C, 2011, J MANAGE, V37, P1019, DOI 10.1177/0149206311406265.
   Zott C, 2010, LONG RANGE PLANN, V43, P216, DOI 10.1016/j.lrp.2009.07.004.}},
Number-of-Cited-References = {{125}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{25}},
Usage-Count-Since-2013 = {{25}},
Journal-ISO = {{Technol. Forecast. Soc. Chang.}},
Doc-Delivery-Number = {{GG2GX}},
Unique-ID = {{ISI:000432509300002}},
DA = {{2018-07-05}},
}

@article{ ISI:000435439500009,
Author = {Schneider, Paul},
Title = {{Managerial challenges of Industry 4.0: an empirically backed research
   agenda for a nascent field}},
Journal = {{REVIEW OF MANAGERIAL SCIENCE}},
Year = {{2018}},
Volume = {{12}},
Number = {{3}},
Pages = {{803-848}},
Month = {{JUL}},
Abstract = {{The increasing intelligence of products and systems, their intra-company
   cross-linking and their cross-company integration into value creation
   networks is referred to as Industry 4.0. Academics and practitioners,
   largely agreeing on the global importance of this proclaimed industrial
   revolution, have published many contributions on the topic. Research,
   however, is rather focused on investigating single technologies in quite
   specific application domains and largely neglects the profound
   managerial challenges underlying Industry 4.0. Given the recent plea for
   a more active contribution from the management science community, we
   strive to establish Industry 4.0 as a challenging but promising field
   for management research, and aim to assist scholars in engaging with the
   topic. Therefore, we first gather and analyze extant contributions by
   means of a systematic literature review and synthesize the information
   gained into 18 managerial challenges of Industry 4.0 falling into six
   interrelated clusters: (1) strategy and analysis, (2) planning and
   implementation, (3) cooperation and networks, (4) business models, (5)
   human resources and (6) change and leadership. Considering that Industry
   4.0 is still an emerging topic and publications may therefore not always
   be found in highly ranked journals, we aimed to increase the confidence
   in our findings and triangulated our data by conducting an online survey
   of industry experts and academics that allows us to qualify the
   identified challenges in terms of importance and future research need.
   On this basis, we present an empirically backed research agenda and
   suggest fruitful avenues for future research in three basic categories:
   practice-enhancing research, knowledge-enhancing research, and
   high-impact research.}},
Publisher = {{SPRINGER HEIDELBERG}},
Address = {{TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Schneider, P (Reprint Author), Univ Cologne, Dept Business Policy \& Logist, Albertus Magnus Pl, D-50923 Cologne, Germany.
   Schneider, Paul, Univ Cologne, Dept Business Policy \& Logist, Albertus Magnus Pl, D-50923 Cologne, Germany.}},
DOI = {{10.1007/s11846-018-0283-2}},
ISSN = {{1863-6683}},
EISSN = {{1863-6691}},
Keywords = {{Industry 4.0; Industrie 4.0; Industrial Internet; Management; Review;
   Digitization}},
Keywords-Plus = {{PHYSICAL PRODUCTION SYSTEMS; BUSINESS MODEL DEVELOPMENT; SUPPLY CHAIN
   MANAGEMENT; MANUFACTURING EDUCATION; CONNECTED PRODUCTS; BIG DATA;
   FUTURE; SMART; COLLABORATION; INNOVATION}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Management}},
Author-Email = {{paul.schneider@wiso.uni-koeln.de}},
Cited-References = {{acatech, 2

license: MIT

license_type: permissive

branch_name: refs/heads/master

extension: bib


text:
011, CYBER PHYS SYSTEMS D.
   Acquier A, 2017, TECHNOL FORECAST SOC, V125, P1, DOI 10.1016/j.techfore.2017.07.006.
   Agarwal N, 2015, INT J TECHNOL MANAGE, V67, P196, DOI 10.1504/IJTM.2015.068224.
   Al-Haddad S, 2015, J ORGAN CHANGE MANAG, V28, P234, DOI 10.1108/JOCM-11-2013-0215.
   Andriopoulos C, 2006, FUTURES, V38, P50, DOI 10.1016/j.futures.2005.04.003.
   Annunziata M, 2015, MECH ENG, V137, P30.
   {[}Anonymous], 2015, ECONOMIST, V417, P59.
   Arnold C, 2016, INT J INNOV MANAG, V20, DOI 10.1142/S1363919616400156.
   Nguyen BV, 2015, INFORM SYST FRONT, V17, P493, DOI 10.1007/s10796-014-9507-4.
   BAUER W, 2014, IFAC PAPERSONLINE, V47, P4459, DOI DOI 10.3182/20140.
   Bauer W, 2015, PROCEDIA MANUF, V3, P417, DOI 10.1016/j.promfg.2015.07.200.
   Bauernhansl T., 2016, ZWF, V111, P453, DOI DOI 10.3139/104.11155.
   Bechtold J, 2014, IND 4 0 CAPGEMINI CO.
   Becker T, 2016, PROC CIRP, V57, P404, DOI 10.1016/j.procir.2016.11.070.
   Bi ZM, 2008, INT J PROD RES, V46, P967, DOI 10.1080/00207540600905646.
   Bierer A, 2016, PROC CIRP, V40, P699, DOI 10.1016/j.procir.2016.01.157.
   Bildstein A, 2014, IND 4 0 PRODUKTION A, P581.
   Birkinshaw J, 2013, ACAD MANAGE PERSPECT, V27, P287, DOI 10.5465/amp.2012.0167.
   Bischoff J, 2015, ERSCHLIESSEN POTENZI.
   Blanchet M, 2014, IND 4 0 NEW IND REVO.
   Bloching B, 2015, DIGITALE TRANSFORMAT.
   Blumel E, 2013, PROCEDIA COMPUT SCI, V25, P4, DOI 10.1016/j.procs.2013.11.002.
   BMWi, 2015, IND 4 0 VOLKS BETR F.
   Bosch Software Innovations GmbH, 2015, IND 4 0 VIS PRAX IND.
   Botthof A, 2015, ZUKUNFT ARBEIT IND 4.
   Brettel M., 2014, INT J MECH IND SCI E, V8, P37.
   Brown SL, 1997, ADMIN SCI QUART, V42, P1, DOI 10.2307/2393807.
   Burmeister C, 2016, UNTERNEHMUNG, V70, P124, DOI DOI 10.5771/0042-059X-2016-2-124.
   Cenamor J, 2017, INT J PROD ECON, V192, P54, DOI 10.1016/j.ijpe.2016.12.033.
   Chen T, 2017, ROBOT CIM-INT MANUF, V45, P126, DOI 10.1016/j.rcim.2016.01.001.
   Chryssolouris G, 2013, PROC CIRP, V7, P17, DOI 10.1016/j.procir.2013.05.004.
   Chunyang Yu, 2015, Manufacturing Letters, V6, P5, DOI 10.1016/j.mfglet.2015.11.005.
   Dais S, 2014, IND 4 0 PRODUKTION A, P625.
   Das TK, 2000, J MANAGE, V26, P31, DOI 10.1016/S0149-2063(99)00037-9.
   Davis J, 2012, COMPUT CHEM ENG, V47, P145, DOI 10.1016/j.compchemeng.2012.06.037.
   Dijkman RM, 2015, INT J INFORM MANAGE, V35, P672, DOI 10.1016/j.ijinfomgt.2015.07.008.
   Dombrowski U, 2014, ZWF, V109, P351, DOI DOI 10.3139/104.11114.
   Dombrowski U, 2014, PROC CIRP, V17, P100, DOI 10.1016/j.procir.2014.01.077.
   Doz YL, 2010, LONG RANGE PLANN, V43, P370, DOI 10.1016/j.lrp.2009.07.006.
   Dremel C, 2017, MIS Q EXEC, V16, P81.
   Ederer F, 2013, MANAGE SCI, V59, P1496, DOI 10.1287/mnsc.1120.1683.
   El Sawy OA, 2016, MIS Q EXEC, V15, P141.
   Evans PC, 2012, IND INTERNET PUSHING.
   Faller C, 2015, PROC CIRP, V32, P88, DOI 10.1016/j.procir.2015.02.117.
   Fernandez JD, 2017, ROBOT AUTON SYST, V94, P102, DOI 10.1016/j.robot.2017.04.007.
   Fitzgerald M, 2015, MIT SLOAN MANAGE REV, V56, P7.
   Fleisch E, 2014, HARVARD BUS MANAG, V36, P59.
   Foss NJ, 2017, J MANAGE, V43, P200, DOI 10.1177/0149206316675927.
   Frankenberger K, 2013, IND MARKET MANAG, V42, P671, DOI 10.1016/j.indmarman.2013.05.004.
   Friedli T, 2015, ZWF Z WIRTSCHAFTLICH, V110, P378.
   Gawer A, 2017, CALL FOR SUBMISSIONS.
   Gawer A, 2014, J PROD INNOVAT MANAG, V31, P417, DOI 10.1111/jpim.12105.
   Geisberger E, 2015, LIVING NETWORKED WOR.
   Geissbauer R, 2014, IND 4 0 CHANCEN HERA.
   Gerlitz L., 2015, J SECURITY SUSTAINAB, V5, P181.
   Gisbert JR, 2014, J NETW COMPUT APPL, V39, P233, DOI 10.1016/j.jnca.2013.07.014.
   Green BN, 2006, J CHIROPR MED, V5, P101, DOI 10.1016/S0899-3467(07)60142-6.
   Gunzel F, 2013, INT J INNOV MANAG, V17, DOI 10.1142/S1363919613400021.
   Haddara M, 2015, PROCEDIA COMPUT SCI, V64, P721, DOI 10.1016/j.procs.2015.08.598.
   Helu Moneer, 2015, Manuf Lett, V6, P1, DOI 10.1016/j.mfglet.2015.11.001.
   Heng S, 2014, IND 4 0 UPGR GERM IN.
   Hirsch-Kreinsen H, 2014, WSI MITT, V2014, P421, DOI {[}10.5771/0342-300x-2014-6-421, DOI 10.5771/0342-300X-2014-6-421].
   Hofmann E, 2017, COMPUT IND, V89, P23, DOI 10.1016/j.compind.2017.04.002.
   Holtewert P, 2013, PROC CIRP, V7, P527, DOI 10.1016/j.procir.2013.06.027.
   Hossain M, 2017, J STRATEGY MANAG, V10, P342, DOI 10.1108/JSMA-01-2016-0002.
   Huang HM, 2010, COMPUT EDUC, V55, P1171, DOI 10.1016/j.compedu.2010.05.014.
   Huy QN, 2002, ADMIN SCI QUART, V47, P31, DOI 10.2307/3094890.
   Iansiti M, 2014, HARVARD BUS REV, V92, P90.
   Industrial Internet Consortium, 2015, FACT SHEET.
   Jones O, 2014, INT J MANAG REV, V16, P249, DOI 10.1111/ijmr.12038.
   Kagermann H, 2011, VDI NACHRICHTEN, V2011, P2.
   Kagermann H, 2015, MANAGEMENT PERMANENT, P23, DOI DOI 10.1007/978-3-658-05014-6\_2.
   Kane GC, 2015, MIT SLOAN MANAGE REV, V56, P37.
   Kauppila OP, 2016, J MANAGE STUD, V53, P1019, DOI 10.1111/joms.12192.
   Kaur N, 2015, COMPUT IND, V74, P151, DOI 10.1016/j.compind.2015.06.006.
   Klotzer C, 2015, 27 NOFOMA C SUST LOG, P190.
   Korambath P, 2014, PROCEDIA COMPUT SCI, V29, P2254, DOI 10.1016/j.procs.2014.05.210.
   Koziolek H., 2015, ATP EDITION, V57, P28.
   Kumar KD, 2005, TECHNOVATION, V25, P477.
   Lai VS, 1997, INFORM MANAGE, V32, P187, DOI 10.1016/S0378-7206(97)00022-0.
   Langley A, 1999, ACAD MANAGE REV, V24, P691, DOI 10.2307/259349.
   Lanza G., 2016, Z WIRTSCHAFTLICHEN F, V111, P76.
   Laudien SM, 2016, INT J INNOV MANAG, V20, DOI 10.1142/S1363919616400144.
   Lee OK, 2015, INFORM SYST RES, V26, P398, DOI 10.1287/isre.2015.0577.
   Lee YS, 2016, INT J DISTRIB SENS N, DOI 10.1155/2016/9837625.
   Levitt R.E., 2011, ENG PROJECT ORG J, V1, P197, DOI DOI 10.1080/21573727.2011.609558.
   Lewin K, 1946, J SOC ISSUES, V2, P34, DOI 10.1111/j.1540-4560.1946.tb02295.x.
   Li DF, 2016, COMPUT CHEM ENG, V91, P136, DOI 10.1016/j.compchemeng.2016.03.006.
   Liu LL, 2016, INT J MED INFORM, V91, P44, DOI 10.1016/j.ijmedinf.2016.04.007.
   May G, 2015, PROC CIRP, V26, P103, DOI 10.1016/j.procir.2014.07.112.
   McGrath RG, 2010, LONG RANGE PLANN, V43, P247, DOI 10.1016/j.lrp.2009.07.005.
   McKinsey Digital, 2016, IND 4 0 IN HYP MAN F.
   Miorandi D, 2012, AD HOC NETW, V10, P1497, DOI 10.1016/j.adhoc.2012.02.016.
   Muller U, 2015, PROCEDIA MANUF, V3, P379, DOI 10.1016/j.promfg.2015.07.179.
   MULROW CD, 1994, BRIT MED J, V309, P597, DOI 10.1136/bmj.309.6954.597.
   Munoz P, 2017, TECHNOL FORECAST SOC, V125, P21, DOI 10.1016/j.techfore.2017.03.035.
   Neubauer M, 2015, IFAC PAPERSONLINE, V48, P294, DOI 10.1016/j.ifacol.2015.06.097.
   Ng I, 2015, INT J PROD ECON, V159, P76, DOI 10.1016/j.ijpe.2014.09.007.
   O'Reilly CA, 2004, HARVARD BUS REV, V82, P74.
   Palo T, 2013, IND MARKET MANAG, V42, P773, DOI 10.1016/j.indmarman.2013.05.015.
   Papazoglou MP, 2015, IEEE SOFTWARE, V32, P61, DOI 10.1109/MS.2015.57.
   Patel PC, 2012, J OPER MANAG, V30, P201, DOI 10.1016/j.jom.2011.10.004.
   Petticrew M, 2006, SYSTEMATIC REVIEWS IN THE SOCIAL SCIENCES: A PRACTICAL GUIDE, P1, DOI 10.1002/9780470754887.
   Pfeffer J, 2006, HARVARD BUS REV, V84, P62.
   Pfeiffer S, 2016, IND BEZIEH, V23, P25, DOI {[}10.1688/indb-2016-01-pfeiffer, DOI 10.1688/INDB-2016-01-PFEIF.FER].
   Pfeiffer S, 2017, NANOETHICS, V11, P107, DOI 10.1007/s11569-016-0280-3.
   Pirvu BC, 2016, MECHATRONICS, V34, P147, DOI 10.1016/j.mechatronics.2015.08.010.
   Plattform Industrie 4.0, 2015, IND 4 0 WHIT FUE THE.
   Plattform Industrie 4.0, 2017, LANDK IND 4 0.
   Porter ME, 2015, HARVARD BUS REV, V93, P96.
   Porter ME, 2014, HARVARD BUS REV, V92, P64.
   Quint F, 2015, PROCEDIA COMPUT SCI, V75, P43, DOI 10.1016/j.procs.2015.12.199.
   Remane G, 2017, INT J INNOV MANAG, V21, DOI 10.1142/S1363919617500049.
   Rentzos L, 2015, PROC CIRP, V32, P31, DOI 10.1016/j.procir.2015.02.082.
   Rentzos L, 2014, PROC CIRP, V17, P189, DOI 10.1016/j.procir.2014.01.126.
   Romer T, 2015, PROCEDIA MANUF, V3, P456, DOI 10.1016/j.promfg.2015.07.208.
   Rogers E. M., 1971, COMMUNICATION INNOVA.
   Ross JW, 2013, HARVARD BUS REV, V91, P90.
   Rudtsch V, 2014, PROC CIRP, V25, P313, DOI 10.1016/j.procir.2014.10.044.
   Sarasvathy SD, 2001, ACAD MANAGE REV, V26, P243, DOI 10.2307/259121.
   Scheer A-W, 2015, CONTROLLING, V27, P442, DOI {[}10.15358/0935-0381-2015-8-9-442, DOI 10.15358/0935-0381-2015-8-9-442].
   SCHEIN EH, 1984, SLOAN MANAGE REV, V25, P3.
   Schneider P, 2016, Z KMU ENTREP, V64, P253, DOI {[}10.3790/zfke.64.4.253, DOI 10.3790/ZFKE.64.4.253].
   Schuh G, 2015, PROC CIRP, V32, P82, DOI 10.1016/j.procir.2015.02.213.
   Schuh G, 2015, PROC CIRP, V29, P191, DOI 10.1016/j.procir.2015.02.010.
   Schuh G, 2014, PROC CIRP, V17, P3, DOI 10.1016/j.procir.2014.02.037.
   Schuh G, 2014, PROC CIRP, V19, P51, DOI 10.1016/j.procir.2014.05.016.
   Schuh G, 2014, CIRP ANN-MANUF TECHN, V63, P433, DOI 10.1016/j.cirp.2014.03.121.
   Schumacher A, 2016, PROC CIRP, V52, P161, DOI 10.1016/j.procir.2016.07.040.
   Schwab K, 2015, 4 IND REVOLUTION WHA.
   Shellshear E, 2015, IEEE COMPUT GRAPH, V35, P62, DOI 10.1109/MCG.2015.38.
   Siemieniuch CE, 2015, APPL ERGON, V51, P104, DOI 10.1016/j.apergo.2015.04.018.
   Sinfield JV, 2012, MIT SLOAN MANAGE REV, V53, P85.
   Soder J, 2014, IND 4 0 PRODUKTION A, P85.
   Spath D, 2013, PRODUKTIONSARBEIT ZU.
   Staufen AG, 2016, DTSCH IND 40 INDEX 2.
   Stock T, 2016, PROC CIRP, V40, P536, DOI 10.1016/j.procir.2016.01.129.
   Stork A, 2015, IEEE COMPUT GRAPH, V35, P21, DOI 10.1109/MCG.2015.46.
   Stremersch S, 2009, J MARKETING, V73, P4, DOI 10.1509/jmkg.73.4.4.
   Strohle P, 2016, EUR J OPER RES, V253, P811, DOI 10.1016/j.ejor.2016.03.004.
   Tachizawa EM, 2015, SUPPLY CHAIN MANAG, V20, P237, DOI 10.1108/SCM-03-2014-0108.
   Tempelaar MP, 2017, J MANAGE, V25, P1, DOI {[}10.1177/0149206317714312, DOI 10.1177/0149206317714312].
   Thomas LDW, 2014, ACAD MANAGE PERSPECT, V28, P198, DOI 10.5465/amp.2011.0105.
   Oesterreich TD, 2016, COMPUT IND, V83, P121, DOI 10.1016/j.compind.2016.09.006.
   Tolio T, 2010, CIRP ANN-MANUF TECHN, V59, P672, DOI 10.1016/j.cirp.2010.05.008.
   Tranfield D, 2003, BRIT J MANAGE, V14, P207, DOI 10.1111/1467-8551.00375.
   Tschope S, 2015, ZWF, V110, P145.
   Tumbas S, 2017, MIS Q EXEC, V16, P121.
   Ullrich A, 2016, IND 4 0 UNTERNEHMERI, P291.
   VENKATRAMAN N, 1994, SLOAN MANAGE REV, V35, P73.
   Vila C, 2015, PROCEDIA ENGINEER, V132, P585, DOI 10.1016/j.proeng.2015.12.608.
   Vokic NP, 2015, PUBLIC RELAT REV, V41, P232, DOI 10.1016/j.pubrev.2014.12.004.
   Walrave B, 2017, TECHNOL FOR IN PRESS, DOI {[}10.1016/j.techfore.2017.04.011, DOI 10.1016/J.TECHFORE.2017.04.011].
   Winsborough D, 2016, PEOPLE STRATEG, V39, P28.
   Wolter MI, 2015, IND 4 0 FOLG ARB WIR.
   Working Group Industrie 4.0, 2013, REC IMPL STRAT IN IN.}},
Number-of-Cited-References = {{156}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Rev. Manag. Sci.}},
Doc-Delivery-Number = {{GJ5RJ}},
Unique-ID = {{ISI:000435439500009}},
DA = {{2018-07-05}},
}


text:
@INPROCEEDINGS{FernandesCM2015,	author    = {Alexandre Furtado Fernandes and Jorge Cardoso and 	Maria Jos{\'{e}} Marcelino},	title     = {A Systematic Mapping Applied to MOOC's Study},	booktitle = {{CSEDU} 2015 - Proceedings of the 7th International Conference on	Computer Supported Education, Volume 2, Lisbon, Portugal, 23-25 May,	2015.},	pages     = {444--449},	year      = {2015},
  webpdf = {/Papers/CP-2015-078-Systematic-Mapping-MOOCs.pdf}}


text:
% Encoding: UTF-8

@Book{Gitman2012,
  author    = {Gitman, Dmitri Maximovitch and Tyutin, Igor Viktorovich and Voronov, B. L.},
  title     = {Self-adjoint Extensions in Quantum Mechanics},
  year      = {2012},
  subtitle  = {General Theory and Applications to Schrödinger and Dirac Equations with Singular Potentials},
  publisher = {Birkhäuser Boston},
  doi       = {10.1007/978-0-8176-4662-2},
  abstract  = {This book is concerned with the attempts to unify Einstein's theory of general relativity and quantum theory into a theory of quantum gravity. It presents, for the first time, most of the approaches in a single textbook. Among them are canonical quantum gravity (including loop quantum gravity), covariant quantum gravity, and string theory. The book also discusses the relevance of these theories for cosmology and the physics of black holes. The first chapter gives a general introduction to the problem of quantizing the gravitational field. The second chapter then presents the main covariant approaches - perturbation theory and Feynman diagrammes, path integrals, and supergravity. The third chapter discusses the important concept of reparametrization invariance in the framework of simple systems: particle models, bosonic string, and parametrized field theory. This concept plays a crucial role in the Hamiltonian formulation of general relativity, which is the topic of Chapter 4. Chapter 5 presents the canonical quantization in the metric variables, leading to the central Wheeler-DeWitt equation, while the sixth chapter presents loop quantum gravity. The next two chapters 7 and 8 then discuss the major applications - quantization of black holes and quantum cosmology. Chapter 9 gives an introduction to string theory by focusing on its quantum gravitational aspects. Chapter 10 contains a discussion of interpretational issues: the relevance of quantum gravity for the foundations of quantum theory and the arrow of time. It also contains a brief review of quantum-gravity phenomenology. The emphasis throughout is on conceptual and formal clarity. Wherever possible, connections between the various approaches are examined.},
  owner     = {yfwang},
  timestamp = {2018.04.04},
}

@Book{Kiefer2012,
  author    = {Kiefer, Claus},
  title     = {Quantum Gravity},
  year      = {2012},
  edition   = {3},
  publisher = {Oxford University Press},
  doi       = {10.1093/acprof:oso/9780199585205.001.0001},
  month     = {apr},
}

@Book{Hall2013,
  author    = {Hall, Brian C.},
  title     = {Quantum Theory for Mathematicians},
  year      = {2013},
  publisher = {Springer New York},
  doi       = {10.1007/978-1-4614-7116-5},
  abstract  = {Although ideas from quantum physics play an important role in many parts of modern mathematics, there are few books about quantum mechanics aimed at mathematicians. This book introduces the main ideas of quantum mechanics in language familiar to mathematicians. Readers with little prior exposure to physics will enjoy the book's conversational tone as they delve into such topics as the Hilbert space approach to quantum theory; the Schrödinger equation in one space dimension; the Spectral Theorem for bounded and unbounded self-adjoint operators; the Stone–von Neumann Theorem; the Wentzel–Kramers–Brillouin approximation; the role of Lie groups and Lie algebras in quantum mechanics; and the path-integral approach to quantum mechanics.

The numerous exercises at the end of each chapter make the book suitable for both graduate courses and independent study. Most of the text is accessible to graduate students in mathematics who have had a first course in real analysis, covering the basics of L2 spaces and Hilbert spaces.  The final chapters introduce readers who are familiar with the theory of manifolds to more advanced topics, including geometric quantization.},
}

@Comment{jabref-meta: databaseType:biblatex;}


text:
.ts {
    height: 80%;
    display: flex;
    flex-direction: column;
    align-items: center;
}

.ts__state > p {
    pointer-events: none;
    opacity: 1;
}

.ts__cardWrapper {
    margin-top: 12rem;
    display: flex;
    align-items: center;
    justify-content: center;
    transform-style: preserve-3d;
    transition: all 2s;
}

.ts__card {
    display: flex;
    align-items: center;
    justify-content: center;
    width: 30rem;
    height: 20rem;
    background-color: var(--secondary);
    border-radius: 1.5rem;
    position: absolute;
}

.ts__card__form {
    list-style: none;
    width: 100%;
}

.ts__card__form__item {
    display: grid;
    grid-template-columns: repeat(12, minmax(0,1fr));
    color: black;
    margin: 0 3rem 1.5rem 3rem;
}

.ts__card__form__item > label {
    grid-column: span 11;
}

.ts__card__form__item > input {
    grid-column: span 1;
}

.ts__card__form__item:last-of-type{
    margin-bottom: 0;
}

.ts__back {
    z-index: -1;
    transform: rotateY(180deg);
}

.ts__timer {
    margin-top: 12rem;
    width: 30rem;
    text-align: center;
}

.ts__timer__line {
    width: 100%;
    height: 1.5rem;
    border: solid .1rem var(--primary);
}

.ts__timer__line > section {
    background-color: var(--primary);
    width: 100%;
    height: 100%;
}

.ts__timer__time {
    margin-top: 1rem;
}

.ts__btns {
    margin-top: 2rem;
    display: grid;
    grid-template-columns: 1fr 1fr;
    column-gap: 6rem;
}

branch_name: refs/heads/dev

gha_language: PHP

extension: css


text:
# This file records the Unity Build compilation rules.
# The source files in a `register_unity_group` called are compiled in a unity
# file.
# Generally, the combination rules in this file do not need to be modified.
# If there are some redefined error in compiling with the source file which
# in combination rule, you can remove the source file from the following rules.
register_unity_group(cc
    sequence_concat_op.cc
    sequence_conv_op.cc
    sequence_enumerate_op.cc
    sequence_erase_op.cc
    sequence_expand_op.cc
    sequence_mask_op.cc
    sequence_pad_op.cc
    sequence_pool_op.cc
    sequence_expand_as_op.cc
    sequence_reshape_op.cc
    sequence_reverse_op.cc
    sequence_scatter_op.cc
    sequence_slice_op.cc
    sequence_softmax_op.cc
    sequence_topk_avg_pooling_op.cc
    sequence_unpad_op.cc
    sequence_concat_op.cu.cc
    sequence_conv_op.cu.cc)
register_unity_group(cu
    sequence_enumerate_op.cu
    sequence_erase_op.cu
    sequence_expand_op.cu
    sequence_mask_op.cu
    sequence_pad_op.cu
    sequence_pool_op.cu
    sequence_expand_as_op.cu
    sequence_reshape_op.cu
    sequence_reverse_op.cu
    sequence_slice_op.cu
    sequence_softmax_cudnn_op.cu.cc
    sequence_softmax_op.cu
    sequence_unpad_op.cu)

repository: seiriosPlus/Paddle

repo_name: seiriosPlus/Paddle

branch_name: refs/heads/develop

extension: cmake