Integrating optimisation and simulation to solve manufacturing scheduling problems

by Alessandra Caggiano, Giuseppe Bruno, Roberto Teti


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. First, the 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 related to the processing times and arrival rates, and a heuristic method is applied to improve the initial solution.

1-minute pitch

            Paper presenter
Name: Alessandra Caggiano
Organization: Fraunhofer J_LEAPT, University of Naples Federico II

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