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Improving multi-actor production, inventory and transportation planning through agent-based optimization
Malmö högskola, School of Technology (TS).
Malmö högskola, School of Technology (TS).ORCID iD: 0000-0002-9471-8405
Malmö högskola, School of Technology (TS).ORCID iD: 0000-0003-0998-6585
2013 (English)In: Agents and multi-agent systems in distributed systems: digital economy and e-commerce / [ed] Anne Hakansson, Ronald Hartung, Springer, 2013, p. 1-31Chapter in book (Other academic)
Abstract [en]

We present an agent-based optimization approach that is built upon the principles of Dantzig-Wolfe column generation, which is a classic reformulation technique. We show how the approach can be used to optimize production, inventory, and transportation, which may result in improved planning for the involved supply chain actors. An important advantage is the possibility to keep information locally when possible, while still enabling global optimization of supply chain activities. In particular, the approach can be used as strategic decision support to show how the involved actors may benefit from applying Vendor Managed Inventory (VMI). In a case study, the approach has been applied to a real-world integrated production, inventory and routing problem, and the results from our experiments indicate that an increased number of VMI customers may give a significant reduction of the total cost in the system. Moreover, we analyze the communication overhead that is caused by using an agent-based, rather than a traditional (non agent-based) approach to decomposition, and some advantages and disadvantages are discussed.

Place, publisher, year, edition, pages
Springer, 2013. p. 1-31
Series
Studies in Computational Intelligence, ISSN 1860-949X ; 462
Keywords [en]
production planning, agent-based computing, optimization
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-10446DOI: 10.1007/978-3-642-35208-9_1ISI: 000318255200002Scopus ID: 2-s2.0-84893071111Local ID: 15705ISBN: 978-3-642-35207-2 (print)ISBN: 978-3-642-35208-9 (print)OAI: oai:DiVA.org:mau-10446DiVA, id: diva2:1407478
Available from: 2020-02-28 Created: 2020-02-28 Last updated: 2025-01-30Bibliographically approved

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Holmgren, JohanPersson, Jan A.Davidsson, Paul

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CiteExportLink to record
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