A multi-agent based-model to support the collaborative manufacturing resource planning in supply chain networks

Jorge E. Hernandez, Raúl Poler, Josefa Mula, David De La Fuente

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Information technology has become a strong modelling approach to support the complexities involved in a process. One example of this technology is the multiagent system which, from a decentralized supply chain configuration perspective, supports the information sharing processes that any of its node will be able to carry out to support its process in a collaborative manner, for example, the planning and the decision-making process. Therefore, this paper presents a novel collaborative planning model in supply chain networks by considering a multiagent system modelling approach in order to support the decision-making process from a decentralized perspective. The hypothesis presented herein is that by collaborating in the information exchange related with the visibility of the demand plans, the decision-making process will be improved by reducing, in example, the backlogs and the inventory on hand costs.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009
Pages779-785
Number of pages7
StatePublished - 2009
Externally publishedYes
Event2009 International Conference on Artificial Intelligence, ICAI 2009 - Las Vegas, NV, United States
Duration: 13 Jul 200916 Jul 2009

Publication series

NameProceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009
Volume2

Conference

Conference2009 International Conference on Artificial Intelligence, ICAI 2009
Country/TerritoryUnited States
CityLas Vegas, NV
Period13/07/0916/07/09

Keywords

  • Collaborative planning
  • Decentralized decision-making process
  • Modelling
  • Multi-agent system
  • Simulation

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