Adaptive Planning for Supply Chain Networks

نویسندگان

  • Michael Andreev
  • George Rzevski
  • Petr Skobelev
  • Peter Shveykin
  • Alexander Tsarev
  • Andrew Tugashev
چکیده

This paper describes methodology, toolset and case studies of adaptive planning for supply chain networks based on the holistic approach, multi-agent technology and ontological modeling. The set of tools for the development of adaptive planners can be used for a wide range of applications. Case studies are included describing applications inr adaptive airport logistics, factory planning, laundry scheduling and pharmaceutical logistics.

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تاریخ انتشار 2007