Tabu-search simulation optimisation approach for flowshop scheduling with multiple processors – a case study

Tabu-search simulation optimisation approach for flowshop scheduling with multiple processors – a case study

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Article ID: iaor2005913
Country: United Kingdom
Volume: 42
Issue: 19
Start Page Number: 4015
End Page Number: 4030
Publication Date: Jan 2004
Journal: International Journal of Production Research
Authors: , ,
Keywords: heuristics
Abstract:

The flowshop with multiple processors (FSMP) environment is relatively common and has a variety of applications. The majority of academic authors solve the scheduling problem of FSMP using deterministic data that ignore the stochastic nature of a real-world problem. Discrete-event simulation can model a non-linear and stochastic problem and allows examination of the likely behaviour of a proposed manufacturing system under selected conditions. However, it does not provide a method for optimization. The present paper proposes to solve the FSMP scheduling problem by using a tabu-search simulation optimization approach. It features both the stochastically modelling capability of the discrete-event simulation and the efficient local-search algorithm of tabu search. A case study from a multilayer ceramic capacitor manufacturing illustrates the proposed solution methodology. Empirical results show promise for the practical application of the proposed methodologies. Future research opportunities are then addressed.

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