Article ID: | iaor20072275 |
Country: | United Kingdom |
Volume: | 44 |
Issue: | 24 |
Start Page Number: | 5327 |
End Page Number: | 5341 |
Publication Date: | Jan 2006 |
Journal: | International Journal of Production Research |
Authors: | Hsu P.-L., Hsu C.-I., Chang P.-C., Chiu C. |
Keywords: | heuristics: genetic algorithms, programming: constraints |
Understanding the factors associated with the flow-time of wafer production is crucial for workflow design and analysis in wafer fabrication factories. Owing to wafer fabrication complexity, the traditional human approach to assigning the due-date is imprecise and prone to failure, especially when the shop status is dynamically changing. Therefore, assigning a due-date to each customer order becomes a challenge to production planning. The paper proposes a constraint-based genetic algorithm approach to determine the flow-time. The flow-time prediction model was constructed and compared with other approaches. Better computational effectiveness and prediction results from the constraint-based genetic algorithm are demonstrated using experimental data from a wafer-manufacturing factory.