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首页> 外文期刊>International Journal of Industrial Engineering Computations >Bi-objective supply chain problem using MOPSO and NSGA-II
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Bi-objective supply chain problem using MOPSO and NSGA-II

机译:使用MOPSO和NSGA-II的双目标供应链问题

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The increase competition and decline economy has increased the relevant importance of having reliable supply chain. The primary objective of many supply chain problems is to reduce the cost of services and, at the same time, to increase the quality of services. In this paper, we present a multi-level supply chain network by considering multi products, single resource and deterministic cost and demand. The proposed model of this paper is formulated as a mixed integer programming and we present two metaheuristics namely MOPSO and NSGA-II to solve the resulted problems. The performance of the proposed models of this paper has been examined using some randomly generated numbers and the results are discussed. The preliminary results indicate that while MOPSO is able to generate more Pareto solutions in relatively less amount of time, NSGA-II is capable of providing better quality results.
机译:竞争的加剧和经济的衰退增加了拥有可靠的供应链的重要性。许多供应链问题的主要目标是降低服务成本,同时提高服务质量。在本文中,我们通过考虑多种产品,单一资源以及确定的成本和需求,提出了一个多层次的供应链网络。本文提出的模型被公式化为混合整数规划,并且我们提出了两种元启发法,即MOPSO和NSGA-II来解决由此产生的问题。本文提出的模型的性能已使用一些随机生成的数字进行了检验,并对结果进行了讨论。初步结果表明,虽然MOPSO可以在相对较少的时间内生成更多的Pareto解决方案,但NSGA-II可以提供更好的质量结果。

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