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Model and metaheuristics for a scheduling problem integrating procurement, sale and distribution decisions

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Glardon, Rémy
Published in Annals of Operations Research. 2017, vol. 259, no. 1-2, p. 437-460
Abstract This paper presents an integrated approach for short-term supply chain management (SCM) at a fast moving consumer goods production plant. The problem is to determine the production quantities, to provide a detailed production schedule, to trigger the relevant express deliveries of raw material, and to manage the distribution. We propose a linear integer model, which integrates all of these decisions within scheduling. To find high quality solutions in a reasonable amount of time, various solution methods are proposed, such as a greedy constructive heuristic, two tabu search metaheuristics, a basic variable neighborhood search and an enhanced one, which uses a variable shaking operator. Experiments on realistic instances show that the latter method is efficient and robust. This paper is a contribution to the SCM literature (indeed, only few references address the integration of short term decisions and to the general metaheuristics field (as the variable neighborhood search paradigm is extended).
Keywords Supply chain managementSchedulingPlanningMetaheuristic
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Other version: http://link.springer.com/10.1007/s10479-017-2498-z
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THEVENIN, Simon, ZUFFEREY, Nicolas, GLARDON, Rémy. Model and metaheuristics for a scheduling problem integrating procurement, sale and distribution decisions. In: Annals of Operations Research, 2017, vol. 259, n° 1-2, p. 437-460. https://archive-ouverte.unige.ch/unige:99560

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Deposited on : 2017-11-23

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