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

Simon Thevenin (), Nicolas Zufferey () and Rémy Glardon ()
Additional contact information
Simon Thevenin: University of Geneva
Nicolas Zufferey: University of Geneva
Rémy Glardon: Ecole Polytechnique Fédérale de Lausanne (EPFL)

Annals of Operations Research, 2017, vol. 259, issue 1, No 18, 437-460

Abstract: 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 management; Scheduling; Planning; Metaheuristics (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10479-017-2498-z

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