Abstract : Nowadays, no decisional tools allow to assess if an unforeseen customers demand variation should be accepted without creating material disruptions among a supply chain or not. The main difficulty consists in aggregating resources capacities, especially if resources perform different tasks with multiple items. This paper then proposes a data aggregation methodology based on graph analysis in order to assess the global production capacity of complex resources networks, like supply chains.
Bruno Vallespir; Thècle Alix. International Conference on Advances in Production and Management Systems (APMS), Sep 2009, Paris, France. Springer, IFIP Advances in Information and Communication Technology, AICT-338, pp.251-258, 2010, Advances in Production Management Systems. New Challenges, New Approaches. 〈10.1007/978-3-642-16358-6_32〉
https://hal.inria.fr/hal-01055846
Contributeur : Hal Ifip
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Soumis le : mercredi 13 août 2014 - 16:56:19
Dernière modification le : vendredi 1 décembre 2017 - 01:15:24
Document(s) archivé(s) le : jeudi 27 novembre 2014 - 00:41:59
Frederic Pereyrol, Jean-Christophe Deschamps, Julien François, Pascale Farthouat, Remy Dupas. A Data Aggregation Methodology to Assess the Global Production Capacity of Complex Supply Chains. Bruno Vallespir; Thècle Alix. International Conference on Advances in Production and Management Systems (APMS), Sep 2009, Paris, France. Springer, IFIP Advances in Information and Communication Technology, AICT-338, pp.251-258, 2010, Advances in Production Management Systems. New Challenges, New Approaches. 〈10.1007/978-3-642-16358-6_32〉. 〈hal-01055846〉
