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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Andreev, M., Rzevski, G., Skobelev, P., Shveykin, P., Tsarev, A., & Tugashev, A. (2007). Adaptive planning for supply chain networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4659 LNAI, pp. 215–224). Springer Verlag. https://doi.org/10.1007/978-3-540-74481-8_21
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