| Article ID: | iaor20173863 |
| Volume: | 51 |
| Issue: | 3 |
| Start Page Number: | 709 |
| End Page Number: | 717 |
| Publication Date: | Jul 2017 |
| Journal: | RAIRO - Operations Research |
| Authors: | Arana-Jimnez Manuel, Salles Neto L L |
| Keywords: | manufacturing industries, combinatorial optimization, optimization, programming: multiple criteria, cutting stock, heuristics |
This work presents a sufficient criteria for partial efficient solutions of the cutting stock problem with two objectives. We consider two important objectives for an industry: number of processed objects (cost of raw materials) and number of different patterns (cost of setup). These optimality results are established through a new approach based on connections between discrete optimization and continuous vector optimization.