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Artificial Intelligence Techniques for Networked Manufacturing Enterprises ManagementIsoarchic and Multi-criteria Control of Supply Chain Network

Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management: Isoarchic... [Supply chains and more particularly supply chain networks are more and more subjected to extreme dynamic operations, where it is asked that each actor has more flexibility and reactivity on the one hand and a specialization bringing more productivity on the other hand. Companies try to achieve the common goal of satisfying customers’ needs through partnership. Negotiation between partners is thus required involving each partner management and production organization. This situation makes it difficult to obtain the best response with respect to the need of each customer. For that, a new approach is proposed for customer–supplier relationship control, in which the partnership is considered in the context of an association of potential suppliers within a network: an isoarchic control model for a supply chain network based on a holonic architecture. The decision-making mechanism is produced thanks to the properties of a decision-making center, called autonomous control entity, associated to each actor of the logistic network, which makes it possible to quantify a multi-criteria evaluation. An implementation of the simulation of such a system is done via a distributed simulation environment high-level architecture). A case study is presented.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Artificial Intelligence Techniques for Networked Manufacturing Enterprises ManagementIsoarchic and Multi-criteria Control of Supply Chain Network

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Publisher
Springer London
Copyright
© Springer-Verlag London 2010
ISBN
978-1-84996-118-9
Pages
161 –180
DOI
10.1007/978-1-84996-119-6_6
Publisher site
See Chapter on Publisher Site

Abstract

[Supply chains and more particularly supply chain networks are more and more subjected to extreme dynamic operations, where it is asked that each actor has more flexibility and reactivity on the one hand and a specialization bringing more productivity on the other hand. Companies try to achieve the common goal of satisfying customers’ needs through partnership. Negotiation between partners is thus required involving each partner management and production organization. This situation makes it difficult to obtain the best response with respect to the need of each customer. For that, a new approach is proposed for customer–supplier relationship control, in which the partnership is considered in the context of an association of potential suppliers within a network: an isoarchic control model for a supply chain network based on a holonic architecture. The decision-making mechanism is produced thanks to the properties of a decision-making center, called autonomous control entity, associated to each actor of the logistic network, which makes it possible to quantify a multi-criteria evaluation. An implementation of the simulation of such a system is done via a distributed simulation environment high-level architecture). A case study is presented.]

Published: Jan 1, 2010

Keywords: Analytic Hierarchy Process; Logistics Network; Supply Chain Network; Bullwhip Effect; Logistics Chain

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