Title: An approach to diagnose local and collaborative supply chain processes

Authors: Matthieu Lauras, Herve Pingaud, Jacques Lamothe

Addresses: Department of Industrial Engineering, Universite de Toulouse – Mines d'Albi, Campus Jarlard, route de Teillet, 81013 Albi, France. ' Department of Industrial Engineering, Universite de Toulouse – Mines d'Albi, Campus Jarlard, route de Teillet, 81013 Albi, France. ' Department of Industrial Engineering, Universite de Toulouse – Mines d'Albi, Campus Jarlard, route de Teillet, 81013 Albi, France

Abstract: It is often really difficult to capture and exploit knowledge about a given supply chain, covering all types of flows and business processes. Supply chain managers have frequently to make diagnosis and need realistic representations of their supply chain. We work on a methodology that tries to help them in this way. First, a framework is designed to capture information on multiple dimensions of supply chain, from structural to operational aspects. Then, a data analysis approach is detailed and put into practice to explain the differences between current and ideal entities, so that progress actions can be identified.

Keywords: supply chain management; SCM; framework; diagnosis; processes; data analysis; cooperation; supply chain collaboration.

DOI: 10.1504/IJLSM.2009.022503

International Journal of Logistics Systems and Management, 2009 Vol.5 No.3/4, pp.375 - 395

Available online: 10 Jan 2009 *

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