Regression trees approach for flow-time prediction in wafer manufacturing processes using constraint-based genetic algorithm

Regression trees approach for flow-time prediction in wafer manufacturing processes using constraint-based genetic algorithm

0.00 Avg rating0 Votes
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: , , ,
Keywords: heuristics: genetic algorithms, programming: constraints
Abstract:

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.

Reviews

Required fields are marked *. Your email address will not be published.