A multiagent-based system to support the decentralized collaborative decision-making process in the automobile supply chain sector

Jorge E. Hernández, 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 modeling 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 nodes will be able to carry out to support its process in a collaborative manner: for example, the planning and decision-making process. Therefore, this paper presents a novel collaborative planning model in supply chain networks that considers a multiagent system modeling approach to support the decision-making process from a decentralized perspective. The hypothesis presented herein involves collaborating in the information exchange process while the decision-making process will improve by increasing, for instance, the profit rate level until a certain collaboration level.

Original languageEnglish
Title of host publicationETFA 2009 - 2009 IEEE Conference on Emerging Technologies and Factory Automation
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2009 - Mallorca, Spain
Duration: 22 Sep 200926 Sep 2009

Publication series

NameETFA 2009 - 2009 IEEE Conference on Emerging Technologies and Factory Automation

Conference

Conference2009 IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2009
Country/TerritorySpain
CityMallorca
Period22/09/0926/09/09

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