Multiple response optimization using mixture-designed experiments and desirability functions in semiconductor scheduling
| Autor: | Daniel Mccarville, John W. Fowler, Dwayne A. Rollier, Russ M. Dabbas |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Engineering
Product design Operations research business.industry Strategy and Management Scheduling (production processes) Management Science and Operations Research Industrial and Manufacturing Engineering Delivery Performance Multiple response optimization Multiple response Customer satisfaction Design methods Linear combination business |
| Zdroj: | International Journal of Production Research. 41:939-961 |
| ISSN: | 1366-588X 0020-7543 |
| Popis: | Today's highly competitive semiconductor markets place a great emphasis on responsiveness to customers. In the past, competition has primarily focused on the product design arena. More recently, short lead times and good on-time delivery performance have become equally important to winning customer satisfaction. To meet these criteria, a recent thrust of manufacturing management has focused on the use of effective scheduling techniques to manage wafer movement. Dabbas and Fowler (1999) proposed an approach that combines multiple dispatching criteria into a single rule with the objective of maximizing multiple response measures simultaneously. This is accomplished using a linear combination with relative weights. The weights identify the contribution of the different criteria. This paper details the use of experimental design methodology as well as a desirability function approach in the optimization of the weights' assignment to the different criteria. The basic idea of the desirability function approach ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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