Supporting the collaborative decision-making process in an automotive supply chain with a multi-agent system

Jorge E. Hernández, Andrew C. Lyons, Josefa Mula, Raul Poler, Hossam Ismail

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

22 Citas (Scopus)

Resumen

Collaborative initiatives such as collaborative design, collaborative planning and forecasting, and open collective innovation are increasingly accepted as approaches that can effectively support decision-making (DM) processes in a range of different industries. However, justifying and demonstrating the benefits of collaborative solutions remains a challenge and has been under-researched. Demonstrating the feasibility of implementing collaborative solutions as opposed to traditional, linear and transactional solutions is even less evident. The purpose of this paper is to conceive a collaborative solution that supports the multi-level DM process in a real, tree-based automotive supply chain environment. The hypothesis presented posits that by sharing information collaboratively, improvements in terms of the profit and service levels will be found within the supply chain and at every supply chain node.

Idioma originalInglés
Páginas (desde-hasta)662-678
Número de páginas17
PublicaciónProduction Planning and Control
Volumen25
N.º8
DOI
EstadoPublicada - 11 jun. 2014
Publicado de forma externa

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