A metaheuristic optimization approach for a real-world stochastic flexible flow shop problem with limited buffer

Christian Almeder and Richard F. Hartl

International Journal of Production Economics, 2013, vol. 145, issue 1, 88-95

Abstract: This work deals with a scheduling problem of a real-world production process in the metal–working industry. The production process can be described as an offline stochastic flexible flow-shop problem with limited buffers. In a first step, we analyze a simplified model and develop a variable neighborhood search based solution approach where we use multiple scenarios to evaluate the objective. Second, the solution approach is adapted to a real-world case using a detailed discrete-event simulation to evaluate the production plans. We are able to improve state-of-the-art production plans statistically significant by 3–10%.

Keywords: Flexible flow shop; Stochastic scheduling; Metaheuristic; Variable neighborhood search (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:145:y:2013:i:1:p:88-95

DOI: 10.1016/j.ijpe.2012.09.014

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