A genetic algorithm for fuzzy order acceptance and scheduling problem
In light of the imprecise and fuzzy nature of real production environments, the order acceptance and scheduling (OAS) problem is associated with fuzzy processing times, fuzzy sequence dependent set up time and fuzzy due dates. In this study, a genetic algorithm (GA) which uses fuzzy ranking methods...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Balikesir University
2019-04-01
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| Series: | An International Journal of Optimization and Control: Theories & Applications |
| Subjects: | |
| Online Access: | http://www.ijocta.org/index.php/files/article/view/711 |