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EnglishWith refer to a Global Service Contract between a Service Provider and a Logistic Company, the purpose of the present paper is to develop an optimization model aimed to minimize the maintenance related total cost. In particular, such contract requires the supplying of a mandatory set of corrective maintenance services on a set of equal vehicles, in a fixed time horizon. The considered problem is formulated by a non-linear constrained mathematical model that, for large practical systems as the one herein considered, becomes difficult or very hard to solve by mathematical resolution approach. For this reason, a specific resolution approach based on a constrained genetic algorithm is herein developed to solve the treated problem. The obtained results show that meaningful cost reductions can be achieved by using the proposed approach.
Lupo T. (2013). The optimization of a maintenance policy related to a global service contract. In Proceedings - 19th ISSAT International Conference on Reliability and Quality in Design, RQD 2013 2013 (pp. 260-264). Honolulu, HI.
| Data di pubblicazione: | 2013 |
| Titolo: | The optimization of a maintenance policy related to a global service contract |
| Autori: | LUPO, Toni (Corresponding) |
| Citazione: | Lupo T. (2013). The optimization of a maintenance policy related to a global service contract. In Proceedings - 19th ISSAT International Conference on Reliability and Quality in Design, RQD 2013 2013 (pp. 260-264). Honolulu, HI. |
| Abstract: | With refer to a Global Service Contract between a Service Provider and a Logistic Company, the purpose of the present paper is to develop an optimization model aimed to minimize the maintenance related total cost. In particular, such contract requires the supplying of a mandatory set of corrective maintenance services on a set of equal vehicles, in a fixed time horizon. The considered problem is formulated by a non-linear constrained mathematical model that, for large practical systems as the one herein considered, becomes difficult or very hard to solve by mathematical resolution approach. For this reason, a specific resolution approach based on a constrained genetic algorithm is herein developed to solve the treated problem. The obtained results show that meaningful cost reductions can be achieved by using the proposed approach. |
| Appare nelle tipologie: | 2.07 Contributo in atti di convegno pubblicato in volume |
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