Using fuzzy analytic hierarchy process and particle swarm optimisation for balanced and defective supply chain problems considering WEEE/RoHS directives

被引:54
作者
Che, Z. H. [1 ]
机构
[1] Natl Taipei Univ Technol, Dept Ind Engn & Management, Taipei 106, Taiwan
关键词
green supply chain; WEEE/RoHS directives; defective supply chain; fuzzy analytic hierarchy process; particle swarm optimisation; ENVIRONMENTAL CRITERIA; VENDOR SELECTION; MODEL; DECISIONS; NETWORK;
D O I
10.1080/00207540802702080
中图分类号
T [工业技术];
学科分类号
08 ;
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.
引用
收藏
页码:3355 / 3381
页数:27
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