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首页> 外文期刊>International Journal of Production Research >Using fuzzy analytic hierarchy process and particle swarm optimisation for balanced and defective supply chain problems considering WEEE/RoHS directives
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Using fuzzy analytic hierarchy process and particle swarm optimisation for balanced and defective supply chain problems considering WEEE/RoHS directives

机译:考虑到WEEE / RoHS指令,使用模糊层次分析法和粒子群优化算法来解决平衡和有缺陷的供应链问题

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摘要

This research explored problems concerning production and delivery in a green supply chain, and constructed an optimal mathematical model to provide solutions. This model incorporates WEEE and RoHS in EU directives for the selection of green partners when establishing a supply chain. The weight of each component is calculated by fuzzy analytic hierarchy process (fuzzy AHP). Previous studies suggested that a supply chain is a balanced system, however, in actual practice, there may be processing damages or delivering losses. Thus, such a supply chain with production loss is known as a 'defective supply chain'. This research analysed the defective supply chain system to discuss its supplier selection, production, and distribution. It developed an optimal mathematical model for both balanced and defective models, and adopted particle swarm optimisation (PSO) to obtain solutions for both models. Finally, case studies for both models with quality solutions were discussed to confirm the efficiency and effectiveness of the proposed approach.
机译:这项研究探索了绿色供应链中与生产和交付有关的问题,并构建了提供解决方案的最佳数学模型。该模型将WEEE和RoHS纳入欧盟指令中,以在建立供应链时选择绿色合作伙伴。每个组件的权重通过模糊层次分析法(AHP)进行计算。先前的研究表明,供应链是一个平衡的系统,但是,在实际操作中,可能存在加工损伤或交货损失。因此,这种具有生产损失的供应链被称为“有缺陷的供应链”。这项研究分析了有缺陷的供应链系统,以讨论其供应商的选择,生产和分配。它为平衡模型和缺陷模型开发了一个最佳数学模型,并采用粒子群优化(PSO)来获得这两个模型的解决方案。最后,讨论了两种具有质量解决方案的模型的案例研究,以确认所提出方法的效率和有效性。

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