A Data Aggregation Methodology to Assess the Global Production Capacity of Complex Supply Chains

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.
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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. International Conference on Advances in Production and Management Systems (APMS), Sep 2009, Paris, France. pp.251-258, ⟨10.1007/978-3-642-16358-6_32⟩. ⟨hal-01055846⟩

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