Article ID: | iaor20042557 |
Country: | United Kingdom |
Volume: | 10 |
Issue: | 3 |
Start Page Number: | 295 |
End Page Number: | 306 |
Publication Date: | May 2003 |
Journal: | International Transactions in Operational Research |
Authors: | Ghiani Gianpaolo, Musmanno Roberto, Grieco Antonio, Guerriero Emanuela |
Keywords: | fuzzy sets, programming: goal |
Allocating production batches to subcontractors arises frequently in industry. When subcontractors operate different equipment, batch assignment is a complex decision that must take into account both throughput and quality of finished goods. In this paper, a Mixed Integer Linear Goal Programming Model, where productivity uncertainty is taken into account through Fuzzy Set Theory, is developed. Our study was motivated by a real-world application arising in an Italian textile company. Computational results show that this method outperforms the hand-made solutions put to use by the management so far.