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Introduction to Supply Network Dynamics and Control

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Supply Network Dynamics and Control

Part of the book series: Springer Series in Supply Chain Management ((SSSCM,volume 20))

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Abstract

Supply chain networks undergo transformations on the scale unlike any seen before. Extensive technology adoptions in supply chain networks render changes in network structures entailing multi-structural dynamics (i.e., new technologies such as Industry 4.0 and additive manufacturing lead to creating more dynamic and reconfigurable supply chains). This chapter presents an introduction to the book on supply network dynamics and control with chapters devoted to theory, methods, and applications in manufacturing, service, supply chain, and Industry 4.0 systems.

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Authors and Affiliations

  1. Department of Automation, Production and Computer Sciences, IMT Atlantique, LS2N – CNRS UMR 6004 La Chantrerie, Nantes, France

    Alexandre Dolgui

  2. Supply Chain and Operations Management, Berlin School of Economics and Law, Berlin, Germany

    Dmitry Ivanov

  3. Laboratory for Information Technologies in Systems Analysis and Modeling, St. Petersburg Institute of Informatics and Automation of the RAS (SPIIRAS), St. Petersburg, Russia

    Boris Sokolov

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  1. Alexandre Dolgui
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  2. Dmitry Ivanov
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  3. Boris Sokolov
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Correspondence to Dmitry Ivanov .

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Editors and Affiliations

  1. Department of Automation, Production and Computer Sciences, IMT Atlantique, LS2N-CNRS, Nantes, France

    Alexandre Dolgui

  2. Department of Business and Economics, Supply Chain and Operations Management, Berlin School of Economics and Law, Berlin, Germany

    Dmitry Ivanov

  3. Laboratory for Information Technologies in Systems Analysis and Modeling, St. Petersburg Institute of Informatics and Automation of the RAS (SPIIRAS), St. Petersburg, Russia

    Boris Sokolov

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Dolgui, A., Ivanov, D., Sokolov, B. (2022). Introduction to Supply Network Dynamics and Control. In: Dolgui, A., Ivanov, D., Sokolov, B. (eds) Supply Network Dynamics and Control. Springer Series in Supply Chain Management, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-031-09179-7_1

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