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 publicationProceedings of the 2020 Winter Simulation Conference, WSC 2020
EditorsK.H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, R. Thiesing
Number of pages12
ISBN (Electronic)9781728194998
Publication statusPublished - Dec 2020
EventWinter Simulation Conference 2020: Simulation Drives Innovation - Virtual
Duration: 14 Dec 202018 Dec 2020


ConferenceWinter Simulation Conference 2020
Internet address


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