Abstract
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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Andreev, M., Rzevski, G., Skobelev, P., Shveykin, P., Tsarev, A., Tugashev, A. (2007). Adaptive Planning for Supply Chain Networks. In: MaÅ™Ãk, V., Vyatkin, V., Colombo, A.W. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2007. Lecture Notes in Computer Science(), vol 4659. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74481-8_21
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DOI: https://doi.org/10.1007/978-3-540-74481-8_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74478-8
Online ISBN: 978-3-540-74481-8
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