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Intelligent planning and control of manufacturing supply chains in virtual enterprises

Author

Listed:
  • Dmitry A. Ivanov
  • Alexander V. Arkhipov
  • Boris V. Sokolov

Abstract

This article addresses the methodological problem of formal representation and mathematical modelling of flexible configurable supply chains (SC) in virtual enterprises (VE). The particular feature of this problem lies in high level of complexity and uncertainty in VE. The classic methods do not allow developing of practicable complex models with the sufficient degree of flexibility and taking into account the goal-oriented (active) behaviour of enterprises. We consider the SC planning and control in VE at the conceptual level and introduce an integrated approach for complex modeling and optimisation of SC in VE. This approach is based on combination of classic and multi-agent approaches, adaptive planning and control, and multiple-model complexes. The planning, monitoring and reconfiguration of SC are considered complex based on the unified methodological principles. It allows interconnecting of planning and control models as well as adaptation of models to the current execution environment.

Suggested Citation

  • Dmitry A. Ivanov & Alexander V. Arkhipov & Boris V. Sokolov, 2007. "Intelligent planning and control of manufacturing supply chains in virtual enterprises," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 11(2), pages 209-227.
    • Handle: RePEc:ids:ijmtma:v:11:y:2007:i:2:p:209-227
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    Citations

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    Cited by:

    1. Ivanov, Dmitry & Sokolov, Boris & Kaeschel, Joachim, 2010. "A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations," European Journal of Operational Research, Elsevier, vol. 200(2), pages 409-420, January.
    2. Dmitry Ivanov & Boris Sokolov & Joachim Kaeschel, 2011. "Integrated supply chain planning based on a combined application of operations research and optimal control," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(3), pages 299-317, September.
    3. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).

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