Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Reverse Logistics Route Selection Using AHP: A Case Study of Electronics Scrap from Pakistan Read chapter Read first chapter

2018 | OriginalPaper | Chapter

A Literature-Based Analysis of the Cyber-Physical Systems Under the Lens of Reconfigurability

Authors : Napoleone Alessia, Macchi Marco, Pozzetti Alessandro

Published in: Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Cyber-physical systems (CPSs) are an increasingly known set of technologies and applications promising to enable manufacturing firms improving their responsiveness to deal with the unpredictability of market requirements. Indeed, from an operational perspective, responsiveness can be achieved because CPSs are an enabler of the reconfigurability of factories. Reconfigurability is a capability that has been theorized since almost two decades. Therefore, today we can consider such grounded theory as a lens to frame emerging CPS-related knowledge. This paper is an effort to give a contribution in this direction. In particular, starting from the acknowledgement that a relevant characteristic of reconfigurability is modularity, this research proposes a literature-based analysis of the Cyber-Physical Systems of the future smart factory.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter A Model of Dynamic Scheduling of Restaurant Operations Considering the Order and Timing of Serving Dishes
next chapter The Platform of Intelligent Manufacturing System Based on Industry 4.0
Literature
1.
Koren, Y., Wang, W., Gu, X.: Value creation through design for scalability of reconfigurable manufacturing systems. Int. J. Prod. Res. 55(5), 1227–1242 (2017)CrossRef
2.
Shaik, A.M., Rao, V.V.S.K., Rao, C.S.: Development of modular manufacturing systems - a review. Int. J. Adv. Manuf. Technol. 76(5–8), 789–802 (2015)CrossRef
3.
Koren, Y., Shpitalni, M.: Design of reconfigurable manufacturing systems. J. Manuf. Syst. 29(4), 130–141 (2010)CrossRef
4.
Mehrabi, M.G., Ulsoy, A.G., Koren, Y.: Reconfigurable manufacturing systems: key to future manufacturing. J. Intell. Manuf. 11, 403–419 (2000)CrossRef
5.
Brettel, M., Friederichsen, N., Keller, M., Rosenberg, M.: How virtualization, decentralization and network building change the manufacturing landscape: an industry 4.0 perspective. Int. J. Mech. Aerospace, Ind. Mechatron. Manuf. Eng. 8(1), 37–44 (2014)
6.
Penas, O., Plateaux, R., Patalano, S., Hammadi, M.: Multi-scale approach from mechatronic to cyber-physical systems for the design of manufacturing systems. Comput. Ind. 86, 52–69 (2017)CrossRef
7.
Trappey, A.J.C., Trappey, C.V., Govindarajan, U.H., Sun, J.J., Chuang, A.C.: A review of technology standards and patent portfolios for enabling cyber-physical systems in advanced manufacturing. IEEE Access 4, 7356–7382 (2016)CrossRef
8.
Koren, Y., et al.: Reconfigurable manufacturing systems. CIRP Ann. Manuf. Technol. 48(2), 527–540 (1999)CrossRef
9.
Wiendahl, H.P., et al.: Changeable manufacturing - classification, design and operation. CIRP Ann. Manuf. Technol. 56(2), 783–809 (2007)CrossRef
10.
Andersen, A.-L., Brunoe, Thomas D., Nielsen, K.: Reconfigurable manufacturing on multiple levels: literature review and research directions. In: Umeda, S., Nakano, M., Mizuyama, H., Hibino, H., Kiritsis, D., von Cieminski, G. (eds.) APMS 2015. IAICT, vol. 459, pp. 266–273. Springer, Cham (2015). https://​doi.​org/​10.​1007/​978-3-319-22756-6_​33CrossRef
11.
Napoleone, A., Pozzetti, A., Macchi, M.: A framework to manage reconfigurability in manufacturing. Int. J. Prod. Res. (2018)
12.
Koren, Y.: The rapid responsiveness of RMS. Int. J. Prod. Res. 51(23–24), 6817–6827 (2013)CrossRef
13.
Bi, Z.M., Sherman, Y., Lang, T., Verner, M., Orban, P.: Development of reconfigurable machines. Int. J. Adv. Manuf. Technol. 39(11–12), 1227–1251 (2008)CrossRef
14.
Contreras, J.D., Garcia, J.I., Pastrana, J.D.: Developing of industry 4.0 applications. Int. J. Online Eng. 13(10), 30–47 (2017)CrossRef
15.
Liu, Y., Xu, X.: Industry 4.0 and cloud manufacturing: a comparative analysis. J. Manuf. Sci. Eng. 139(3), 347011–347018 (2016)MathSciNetCrossRef
16.
Wang, K.: Intelligent predictive maintenance (IPdM) system – industry 4. 0 scenario. WIT Trans. Eng. Sci. 113, 259–268 (2016)
17.
Rosenberg, E., Haeusler, M.H., Araullo, R., Gardner, N.: Smart architecture-bots and industry 4.0 principles for architecture. In: Proceedings of 33rd eCAADe Conference, vol. 2, pp. 251–259 (2015)
18.
Otto, J., Vogel-Heuser, B., Niggemann, O.: Automatic parameter estimation for reusable software components of modular and reconfigurable cyber-physical production systems in the domain of discrete manufacturing. IEEE Trans. Ind. Inform. 14(1), 275–282 (2018)CrossRef
19.
Pereira, A.C., Romero, F.: A review of the meanings and the implications of the Industry 4.0 concept. Procedia Manuf. 13, 1206–1214 (2017)CrossRef
20.
Ito, Y.: Layout design for flexible machining systems in FCIPS and convertibility to CPS module in smart factory. J. Mach. Eng. 4(17), 5–28 (2017)CrossRef
21.
Monostori, L.: Cyber-physical production systems: roots, expectations and R&D challenges. Procedia CIRP 17, 9–13 (2014)CrossRef
22.
Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., Yin, B.: Smart factory of industry 4.0: key technologies, application case, and challenges. IEEE Access 6, 6505–6519 (2017)CrossRef
23.
Zheng, M., Ming, X.: Construction of cyber-physical system–integrated smart manufacturing workshops: a case study in automobile industry. Adv. Mech. Eng. 9(10), 1–17 (2017)CrossRef
24.
Hwang, J.S.: The fourth industrial revolution (industry 4.0): intelligent manufacturing. Engineering 3(5), 616–630 (2017)CrossRef
25.
Energetics Incorporated: Cyber-physical systems : situation analysis of current trends, technologies, and challenges. National Institute of Standards and Technology, p. 67 (2012)
26.
Choi, S.H., Jeong, I.B., Kim, J.H., Lee, J.J.: Context generator and behavior translator in a multilayer architecture for a modular development process of cyber-physical robot systems. IEEE Trans. Ind. Electron. 61(2), 882–892 (2014)CrossRef
27.
Zhang, Y., Qian, C., Lv, J., Liu, Y.: Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor. IEEE Trans. Ind. Inform. 13(2), 737–747 (2017)CrossRef
28.
Uhlmann, E., Geisert, C.: Intelligent production systems in the era of industrie 4. 0 – changing mindsets and business models. J. Mach. Eng. 17(2), 5–24 (2017)
29.
Shamim, S., Cang, S., Yu, H., Li, Y.: Examining the feasibilities of industry 4.0 for the hospitality sector with the lens of management practice. Energies 10(4), 499 (2017)CrossRef
30.
31.
ElMaraghy, H.A.: Flexible and reconfigurable manufacturing systems paradigms. Int. J. Flex. Manuf. Syst. 17(4), 261–276 (2006)CrossRef
32.
Rösiö, C.: Supporting the design of reconfigurable production systems, 130 (2012)
33.
Rojas, R.A., Rauch, E., Vidoni, R., Matt, D.T.: Enabling connectivity of cyber-physical production systems: a conceptual framework. Procedia Manuf. 11, 822–829 (2017)CrossRef
34.
Trstenjak, M., Cosic, P.: Process planning in industry 4.0 environment. Procedia Manuf. 11, 1744–1750 (2017)CrossRef
35.
Morgan, J., O’Donnell, G.E.: Multi-sensor process analysis and performance characterisation in CNC turning—a cyber physical system approach. Int. J. Adv. Manuf. Technol. 92(1–4), 855–868 (2017)CrossRef
36.
37.
Li, D., Tang, H., Wang, S., Liu, C.: A big data enabled load-balancing control for smart manufacturing of Industry 4.0. Cluster Comput. 20(2), 1855–1864 (2017)CrossRef
38.
Mazzolini, M., Cavadini, F.A., Montalbano, G., Forni, A.: Structured approach to the design of automation systems through IEC 61499 standard. Procedia Manuf. 11, 905–913 (2017)CrossRef
39.
Haupert, J., Bergweiler, S., Poller, P., Hauck, C.: IRAR: smart intention recognition and action recommendation for cyber-physical industry environments. In: Proceedings of 2014 International Conference Intelligent Environments IE 2014, pp. 124–131 (2014)
40.
Iarovyi, S., Mohammed, W.M., Lobov, A., Ferrer, B.R., Lastra, J.L.M.: Cyber-physical systems for open-knowledge-driven manufacturing execution systems. Proc. IEEE 104(5), 1142–1154 (2016)CrossRef
41.
Lin, K. J., Panahi, M.: A real-time service-oriented framework to support sustainable cyber-physical systems. In: IEEE International Conference on Industrial Informatics, pp. 15–21 (2010)
42.
Valente, A.: Reconfigurable industrial robots - an integrated approach to design the joint and link modules and configure the robot manipulator. Adv. Reconfigurable Mech. Robots II 36, 779–794 (2016)CrossRef
Metadata
Title
A Literature-Based Analysis of the Cyber-Physical Systems Under the Lens of Reconfigurability
Authors
Napoleone Alessia
Macchi Marco
Pozzetti Alessandro
Copyright Year
2018
Book
Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing

Print ISBN: 978-3-319-99703-2

Electronic ISBN: 978-3-319-99704-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-99704-9_42

Premium Partner

    Image Credits