Skip to main content
SpringerLink
Log in

A General Overview of the Industry 4.0 Concept for Production Management and Engineering

  • Conference paper
  • First Online:
Advances in Engineering Networks (ICIEOM 2018)

Part of the book series: Lecture Notes in Management and Industrial Engineering ((LNMIE))

Abstract

This article presents an overview of the Industry 4.0 concept in the production management and engineering context with a view to identifying the most relevant aspects that comprise it. To this end, the different available definitions about it, the considered support elements, and the proposed main differences between conceptual frameworks are analyzed. Finally, some relevant contributions made to production planning in an Industry 4.0 context are covered.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Abersfelder S, Heyder A, Franke J (2015) Optimization of a servo motor manufacturing value stream by use of ‘Industrie 4.0.’ In: 2015 5th international conference on electric drives production, EDPC 2015—proceedings, pp 2–6

    Google Scholar 

  2. Abramovici M, Stark R (eds) (2013) Smart product engineering

    Google Scholar 

  3. Adeyeri MK, Mpofu K, Adenuga Olukorede T (2015) Integration of agent technology into manufacturing enterprise: a review and platform for industry 4.0. In: IEOM 2015—5th international conference on industrial engineering and operations management, proceeding. https://doi.org/10.1109/IEOM.2015.7093910

  4. Bauer W, Schlund S, Marrenbach D, Ganschar O (2014) Industrie 4.0 – Volkswirtschaftliches Potenzial für Deutschland, Berlin

    Google Scholar 

  5. Bücker I, Hermann M, Pentek T, Boris O (2016) Towards a methodology for Industrie 4.0 transformation. Inf Syst 1:209–221

    Google Scholar 

  6. Cohen Y et al (2017) Assembly system configuration through Industry 4.0 principles: the expected change in the actual paradigms. IFAC-PapersOnLine 50(1):14958–14963. http://linkinghub.elsevier.com/retrieve/pii/S2405896317334754

  7. Guizzi G, Vespoli S, Santini S (2017) On the architecture scheduling problem of Industry 4.0. In: CEUR workshop proceedings, 2010, pp 94–100

    Google Scholar 

  8. Hermann M, Pentek T, Otto B (2016) Design principles for Industrie 4.0 scenarios. In: Proceedings of the annual Hawaii international conference on system sciences, 2016 March, pp 3928–3937

    Google Scholar 

  9. Ivanov D, Dolgui A, Sokolov B, Werner F, Ivanova M (2016) A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. Int J Prod Res 54(2):386–402. https://doi.org/10.1080/00207543.2014.999958

  10. Ivanov D, Sokolov B, Ivanova M (2016) Schedule coordination in cyber-physical supply networks Industry 4.0. IFAC-PapersOnLine 49(12):839–844. https://doi.org/10.1016/j.ifacol.2016.07.879

  11. Ivanov D, Dolgui A, Sokolov B (2017) A dynamic approach to multi-stage job shop scheduling in an Industry 4.0-based flexible assembly system. IFIP Adv Inf Commun Technol 513(March 2018):475–482. https://doi.org/10.1007/978-3-319-66923-6_56

  12. Ivanov D, Dolgui A, Sokolov B, Ivanova M (2017) Optimal control representation of the mathematical programming model for supply chain dynamic reconfiguration. IFAC-PapersOnLine 50(1):4994–4999. https://doi.org/10.1016/j.ifacol.2017.08.900

    Article  Google Scholar 

  13. Kagermann, H., Lukas, W.D., Wahlster, W. (2011). Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution. VDI nachrichten, 13(1).

    Google Scholar 

  14. Keller M, Rosenberg M, Brettel M, Friederichsen N (2014) How virtualization, decentralization and network building change the manufacturing landscape: an Industry 4.0 perspective. Int J Mech Aerosp Ind Mechatron Manuf Eng 8(1):37–44

    Google Scholar 

  15. Klement N, Silva C, Gibaru O (2017) A generic decision support tool to planning and assignment problems: industrial application & Industry 4.0. Procedia Manuf 11(June):1684–1691. https://doi.org/10.1016/j.promfg.2017.07.293

  16. Lee J, Bagheri B, Kao HA (2015) A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manuf Lett 3:18–23. https://doi.org/10.1016/j.mfglet.2014.12.001

    Article  Google Scholar 

  17. Lu Y (2017) Industry 4.0: a survey on technologies, applications and open research issues. J Ind Inf Integr 6:1–10. https://doi.org/10.1016/j.jii.2017.04.005

    Article  Google Scholar 

  18. Lucke D, Constantinescu C, Westkämper E (2008) Smart factory—a step towards the next generation of manufacturing. In: Mitsuishi M, Ueda K, Kimura F (eds) Manufacturing systems and technologies for the new frontier. Springer, London, pp 115–118

    Chapter  Google Scholar 

  19. Oesterreich TD, Teuteberg F (2016) Understanding the implications of digitisation and automation in the context of Industry 4.0: a triangulation approach and elements of a research agenda for the construction industry. Comput Ind 83:121–139. https://doi.org/10.1016/j.compind.2016.09.006

    Article  Google Scholar 

  20. Posada J et al (2015) Visual computing as a key enabling technology for Industrie 4.0 and industrial internet. IEEE Comput Graph Appl 35(2):26–40

    Article  Google Scholar 

  21. Qin J, Liu Y, Grosvenor R (2016) A categorical framework of manufacturing for Industry 4.0 and beyond. Procedia CIRP 52:173–178. https://doi.org/10.1016/j.procir.2016.08.005

    Article  Google Scholar 

  22. Schuh G, Potente T, Varandani R, Schmitz T (2014) Global footprint design based on genetic algorithms—an “industry 4.0” perspective. CIRP Ann Manuf Technol 63(1):433–436. https://doi.org/10.1016/j.cirp.2014.03.121

  23. Sokolov B, Ivanov D (2015) Integrated scheduling of material flows and information services in industry 4.0 supply networks. IFAC-PapersOnLine 28(3):1533–1538. https://doi.org/10.1016/j.ifacol.2015.06.304

  24. Wang S et al (2015) Towards smart factory for Industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Comput Netw 101:158–168

    Article  Google Scholar 

  25. Wang S, Wan J, Li D, Zhang C (2016) Implementing smart factory of Industrie 4. Int J Distrib Sens Netw 2016(4):1–10

    Google Scholar 

  26. Waschneck B, Altenmüller T, Bauernhansl T, Kyek A (2016) Production scheduling in complex job shops from an Industrie 4.0 perspective: a review and challenges in the semiconductor industry. In: Proceedings of SamI40 workshop at I-KNOW ’16

    Google Scholar 

  27. Zhang J, Ding G, Zou Y, Qin S, Fu J (2017) Review of job shop scheduling research and its new perspectives under Industry 4.0. J Intell Manuf 1–22. https://doi.org/10.1007/s10845-017-1350-2

  28. Zhang J, Yao X, Zhou J, Jiang J, Chen X (2017) Self-organizing manufacturing: current status and prospect for Industry 4.0. In: 2017 5th international conference on enterprise systems (ES), pp 319–326. https://doi.org/10.1109/ES.2017.59

  29. Zheng P, Wang H, Sang Z, Zhong RY, Liu Y, Liu C, Xu X (2018) Smart manufacturing systems for Industry 4.0: conceptual framework, scenarios, and future perspectives. https://doi.org/10.1007/s11465-018-0499-5

Download references

Author information

Authors and Affiliations

  1. Research Centre on Production Management and Engineering (CIGIP), Universitat Politècnica de València (UPV), Calle Alarcón, 03801, Alcoy, Alicante, Spain

    Héctor Cañas & Josefa Mula

Authors
  1. Héctor Cañas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Josefa Mula
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Josefa Mula .

Editor information

Editors and Affiliations

  1. Department of Business Administration, Management and Product Design, Universitat de Girona, Girona, Spain

    Rodolfo de Castro

  2. Department of Business Administration, Management and Product Design, Universitat de Girona, Girona, Spain

    Gerusa Giménez

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cañas, H., Mula, J. (2020). A General Overview of the Industry 4.0 Concept for Production Management and Engineering. In: de Castro, R., Giménez, G. (eds) Advances in Engineering Networks. ICIEOM 2018. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-44530-0_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-44530-0_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44529-4

  • Online ISBN: 978-3-030-44530-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation