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

Authors:
Jorge E. Hernández;Raúl Poler;Josefa Mula;David De La Fuente
Affiliations:
Centro de Investigación Gestión e Ingeniería de Producción, Dpto. Organización de Empresas, Escuela Politécnica Superior de Alcoy, Universidad Politécnica de Val ...;Centro de Investigación Gestión e Ingeniería de Producción, Dpto. Organización de Empresas, Escuela Politécnica Superior de Alcoy, Universidad Politécnica de Val ...;Centro de Investigación Gestión e Ingeniería de Producción, Dpto. Organización de Empresas, Escuela Politécnica Superior de Alcoy, Universidad Politécnica de Val ...;Dpto. de Administración de Empresas, Escuela Politécnica Superior de Ingenieros Industriales, Universidad de Oviedo, Asturias, Spain
Venue:
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Year:
2009

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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.