Multi-objective optimization of a sorting system

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This paper addresses the optimization of a sorting system encountered in the semiconductor industry. Thesystem consists of parallel sorting machines and a material handler to transport materials to, from andbetween machines. The problem is decomposed into multiple subproblems. For each of these subproblemsheuristic methods are proposed. A discrete-event simulation is used to study the performance of thesystem using these heuristics. Application on two real-world cases shows that this heuristic approach cansignificantly decrease the makespan and cost, yielding practically feasible schedules.
Original languageEnglish
Title of host publicationWSC 2020 - 2020 Winter Simulation Conference
EditorsK.H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, R. Thiesing
Publication statusPublished - Dec 2020

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