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A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0

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Ivanov, Dmitry, Dolgui, Alexandre, Sokolov, Boris, Werner, Frank, Ivanova, Marina·2016·International Journal of Production Research
DOI 10.1080/00207543.2014.999958
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Abstract

Smart factories Industry 4.0 on the basis of collaborative cyber-physical systems represents a future form of industrial networks. Supply chains in such networks have dynamic structures which evolve over time. In these settings, short-term supply chain scheduling in smart factories Industry 4.0 is challenged by temporal machine structures, different processing speed at parallel machines and dynamic job arrivals. In this study, for the first time, a dynamic model and algorithm for short-term supply chain scheduling in smart factories Industry 4.0 is presented. The peculiarity of the considered problem is the simultaneous consideration of both machine structure selection and job assignments. The scheduling approach is based on a dynamic non-stationary interpretation of the execution of the jobs and a temporal decomposition of the scheduling problem. The algorithmic realisation is based on a modified form of the continuous maximum principle blended with mathematical optimisation. A detailed theoretical analysis of the temporal decomposition and computational complexity is performed. The optimality conditions as well as the structural properties of the model and the algorithm are investigated. Advantages and limitations of the proposed approach are discussed.

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Metadata

Authors
Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., & Ivanova, M.
Venue
International Journal of Production Research
Publisher
Informa UK Limited
Published
2015-01-19
Volume
54
Issue
2
Pages
386-402
ISSN
  • 0020-7543 (ISSN-L)
  • 1366-588X
DOI
10.1080/00207543.2014.999958
OpenAlex
W2133720971
Cited by
567
References
0
FWCI
61.50
Type
journal article
Language
en
Open access
green
Funders
  • Russian Foundation for Basic Research (15-07-08391, 15-08-08459, 13-07-00279, 13-08-01250, 13-07-12120, 13-07-00279)
  • Government of Russian Federation (074-U01)
  • Department of nanotechnologies and information technologies of the RAS
  • NRU St. Petersburg SPU

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CoChat. (2026). Citation check: A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. https://app.cochat.ai/papers/10.1080/00207543.2014.999958
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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. International Journal of Production Research. https://doi.org/10.1080/00207543.2014.999958

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