A Novel MCDM-based Approach for Disassembly Line Balancing Problem

被引:0
|
作者
Qiang, Yuezhao [1 ]
Lin, Yu [2 ]
Tian, Guangdong [2 ]
机构
[1] Harbin Inst Technol, Sch Management, Harbin 150001, Heilongjiang, Peoples R China
[2] Jilin Univ, Transportat Coll, Changchun 130022, Jilin, Peoples R China
基金
中国国家自然科学基金;
关键词
ALGORITHM;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the progress of industrial technology and frequent product upgrading, products are eliminated more quickly than ever before. The recovery, recycling, and refabricating of end-of-life (EOL) products are attracting more attention. Disassembly is essential to recycle and refabricate EOL products, and a disassembly line is an effective way to accomplish it. A disassembly line balancing problem (DLBP) is conducted to streamlining the disassembly process. In this paper, a novel heuristic approach combining the fuzzy set theory, grey fuzzy integral relational analysis, and a fast ranking heuristic approach is proposed to solve the DLBP. Based on the characteristics of the DLBP, an innovative MCDM method based on fuzzy set theory, grey relational analysis (GRA), and Choquet fuzzy integral is proposed to determine the optimum disassembly sequences. A fast ranking heuristic algorithm (FPCR) considering precedence and cycle time is used to assign the disassembly tasks subject to the rank derived from MCDM. The proposed approach is illustrated with an example and the results show its efficacy in solving the DLBP.
引用
收藏
页码:151 / 156
页数:6
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