Simulation-Based Performance Assessment of Production Planning Models With Safety Stock and Forecast Evolution in Semiconductor Wafer Fabrication
| Autor: | Timm Ziarnetzky, Reha Uzsoy, Lars Mönch |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Computer science 02 engineering and technology Condensed Matter Physics Industrial and Manufacturing Engineering Electronic Optical and Magnetic Materials 020901 industrial engineering & automation Production planning Safety stock Semiconductor wafer fabrication Wafer Electrical and Electronic Engineering Rolling horizon Martingale (probability theory) Simulation based Multiple |
| Zdroj: | IEEE Transactions on Semiconductor Manufacturing. 33:1-12 |
| ISSN: | 1558-2345 0894-6507 |
| DOI: | 10.1109/tsm.2019.2958526 |
| Popis: | We study the performance of production planning models for wafer fabs in a rolling horizon setting under stochastic demand modeled using the Martingale Model of Forecast Evolution (MMFE). The models differ in how they incorporate lead times and safety stocks. The number of frozen periods is considered as an experimental factor to study the nervousness of the resulting plans. Our simulation experiments show that chance-constrained production planning models that integrate safety stock and production planning decisions outperform others. The formulations with workload-dependent lead times also outperform those with fixed lead times that are an integer multiple of the period length. |
| Databáze: | OpenAIRE |
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