Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Improving Multi-actor Production, Inventory and Transportation Planning through Agent-Based Optimization
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
2013 (English)In: Agent and Multi-Agent Systems in Distributed Systems: Digital Economy and E-Commerce, Studies in Computational Intelligence / [ed] Hakansson, Anne; Hartung, Ronald, Berlin Heidelberg: Springer-Verlag , 2013, 1-31 p.Chapter in book (Refereed)
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
Berlin Heidelberg: Springer-Verlag , 2013. 1-31 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-6842DOI: 10.1007/978-3-642-35208-9ISI: 000318255200002ISBN: 978-3-642-35207-2 (print)OAI: oai:DiVA.org:bth-6842DiVA: diva2:834390
Available from: 2013-12-02 Created: 2013-02-19 Last updated: 2017-03-07Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Holmgren, JohanPersson, Jan A.Davidsson, Paul
By organisation
School of Computing
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 33 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf