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Integrating optimisation and simulation to solve manufacturing scheduling problems

: Caggiano, A.; Bruno, G.; Teti, R.

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Procedia CIRP 28 (2015), pp.131-136
ISSN: 2212-8271
Global Web Conference "Production Engineering Research - Advancement Beyond State of the Art" (CIRPe) <3, 2014>
Conference Paper, Journal Article, Electronic Publication
Fraunhofer J LEAPT ()

In this research paper, a novel approach to solve manufacturing scheduling problems based on the integration of optimisation and simulation tools is proposed. The advantages of this approach are illustrated with reference to a manufacturing scheduling case study. The initial optimisation model is formulated as an adaptation of the Capacitated Lot-Sizing Problem (CLSP). Then, a Discrete Event Simulation (DES) software is employed to verify the optimised solution and analyse its robustness taking into account uncertainties in the processing times and arrival rates, and a heuristic method is applied to improve the initial solution.