Abstract
The combined cutting stock and assignment problem is addressed in this paper. First, this problem is posed by reviewing the literature and is defined by mixing the existing cutting stock and assignment scenario. Then mathematical modeling is employed to establish a quantitative platform for this problem. Theoretical and empirical analysis are conducted to secure relations among various process parameters. An optimization methodology is developed to provide optimal or suboptimal solutions to the problem based on a heuristically guided multiple-stage Genetic Algorithm. Dynamic scheduling techniques are developed for conditions with varying process parameters. Finally, numerical results are included to justify the efficiency and effectiveness of this approach.
| Original language | English |
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| Pages | 775-784 |
| Number of pages | 10 |
| State | Published - 1999 |
| Externally published | Yes |
| Event | Proceedings of the 1999 7th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'99) - Barcelona, Spain Duration: 18 Oct 1999 → 21 Oct 1999 |
Conference
| Conference | Proceedings of the 1999 7th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'99) |
|---|---|
| City | Barcelona, Spain |
| Period | 18/10/99 → 21/10/99 |