Hybrid Heuristic Optimization of an Integrated Production Distribution System with Stock and Transportation Costs
| dc.contributor.author | Bensakhria M, Abdelhamid S | |
| dc.date.accessioned | 2023-05-17T10:49:03Z | |
| dc.date.available | 2023-05-17T10:49:03Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | In this paper we address the integration of two-level supply chain with multiple items, production facility and retailers’ demand over a considered discrete time horizon. This two-level production distribution system features capacitated production facility supplying several retailers located in the same region. If production does take place, this process incurs a fixed setup cost as well as unit production costs. In addition, deliveries are made from the plant to the retailers by a limited number of capacitated vehicles and routing costs are incurred. This work aims at implementing a solution to minimize the sum of the costs at the production facility and the retailers. The methodology adopted to tackle this issue is based on a hybrid heuristic, greedy and genetic algorithms that uses strong formulation to provide a good solution of a guaranteed quality that are as good or better than those provided by the MIP optimizer with a considerably larger run time. The results demonstrate that the proposed heuristics are effective and performs impressively in terms of computational efficiency and solution quality. | |
| dc.identifier.uri | http://dspace.univ-batna2.dz/handle/123456789/1709 | |
| dc.title | Hybrid Heuristic Optimization of an Integrated Production Distribution System with Stock and Transportation Costs |