Multi-Objective Optimization of a Sorting System
| Autor: | Adan, Jelle, Deenen, Patrick C., Smit, A., Bae, K.H., Feng, B., Kim, S., Lazarova-Molnar, S., Zheng, Z., Roeder, T., Thiesing, R. |
|---|---|
| Přispěvatelé: | Operations Planning Acc. & Control |
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization 021103 operations research Job shop scheduling Computer science Heuristic 0211 other engineering and technologies Sorting 02 engineering and technology Multi-objective optimization Semiconductor industry 020901 industrial engineering & automation Parallel sorting Electronics Heuristics |
| Zdroj: | WSC Proceedings of the 2020 Winter Simulation Conference, WSC 2020, 1718-1729 STARTPAGE=1718;ENDPAGE=1729;TITLE=Proceedings of the 2020 Winter Simulation Conference, WSC 2020 |
| Popis: | This paper addresses the optimization of a sorting system encountered in the semiconductor industry. The system consists of parallel sorting machines and a material handler to transport materials to, from and between machines. The problem is decomposed into multiple subproblems. For each of these subproblems heuristic methods are proposed. A discrete-event simulation is used to study the performance of the system using these heuristics. Application on two real-world cases shows that this heuristic approach can significantly decrease the makespan and cost, yielding practically feasible schedules. |
| Databáze: | OpenAIRE |
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