A Novel Multi-Efficiency Optimization Method for Disassembly Line Balancing Problem

被引:13
作者
Cao, Jianhua [1 ]
Xia, Xuhui [1 ]
Wang, Lei [1 ,2 ]
Zhang, Zelin [1 ]
Liu, Xiang [1 ]
机构
[1] Wuhan Univ Sci & Technol, Key Lab Met Equipment & Control Technol, Wuhan 430081, Peoples R China
[2] Wuhan Univ Sci & Technol, Ctr Serv Sci & Engn, Wuhan 430065, Peoples R China
基金
中国国家自然科学基金;
关键词
disassembly line balancing; destructive disassembly; dual-population discrete artificial bee colony algorithm; multi-objective optimization; BEE COLONY ALGORITHM; GENETIC ALGORITHM; NETWORK; MODEL;
D O I
10.3390/su11246969
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Disassembly is an indispensable part in remanufacturing process. Disassembly line balancing and disassembly mode have direct effects on the disassembly efficiency and resource utilization. Recent researches about disassembly line balancing problem (DLBP) either considered the highest productivity, lowest disassembly cost or some other performance measures. No one has considered these metrics comprehensively. In practical production, ignoring the ratio of resource input and value output within remanufacturing oriented disassembly can result in inefficient or pointless remanufacturing operations. To address the problem, a novel multi-efficiency DLBP optimization method is proposed. Different from the conventional DLBP, destructive disassembly mode is considered not only on un-detachable parts, but also on detachable parts with low value, high energy consumption, and long task time. The time efficiency, energy efficiency, and value efficiency are newly defined as the ultimate optimization objectives. For the characteristics of the multi-objective optimization model, a dual-population discrete artificial bee colony algorithm is proposed. The proposed model and algorithm are validated by different scales examples and applied to an automotive engine disassembly line. The results show that the proposed model is more efficient, and the algorithm is well suited to the multi-objective optimization model.
引用
收藏
页数:16
相关论文
共 44 条
[31]   Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing [J].
Ozceylan, Eren ;
Paksoy, Turan ;
Bektas, Tolga .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2014, 61 :142-164
[32]   Mixed model disassembly line balancing problem with fuzzy goals [J].
Paksoy, Turan ;
Gungor, Askiner ;
Ozceylan, Eren ;
Hancilar, Arif .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (20) :6082-6096
[33]   An improved gravitational search algorithm for profit-oriented partial disassembly line balancing problem [J].
Ren, Yaping ;
Yu, Daoyuan ;
Zhang, Chaoyong ;
Tian, Guangdong ;
Meng, Leilei ;
Zhou, Xiaoqiang .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (24) :7302-7316
[34]   Partial disassembly sequencing considering acquired end-of-life product age distributions [J].
Rickli, Jeremy L. ;
Camelio, Jaime A. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2014, 52 (24) :7496-7512
[35]   The Balancing of Disassembly Line of Automobile Engine Using Genetic Algorithm (GA) in Fuzzy Environment [J].
Seidi, Masoud ;
Saghari, Saeed .
Industrial Engineering and Management Systems, 2016, 15 (04) :364-373
[36]   Partial disassembly sequence planning based on cost-benefit analysis [J].
Smith, Shana ;
Hsu, Li-Yen ;
Smith, Gregory C. .
JOURNAL OF CLEANER PRODUCTION, 2016, 139 :729-739
[37]  
Song Xiao-wen, 2012, Computer Integrated Manufacturing Systems, V18, P927
[38]   Solving large scale disassembly line balancing problem with uncertainty using reinforcement learning [J].
Tuncel, Emre ;
Zeid, Abe ;
Kamarthi, Sagar .
JOURNAL OF INTELLIGENT MANUFACTURING, 2014, 25 (04) :647-659
[39]   Sustainability through disassembly modeling, planning, and leveling: a case study [J].
Vinodh, S. ;
Nachiappan, N. ;
Kumar, R. Praveen .
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2012, 14 (01) :55-67
[40]   Pareto artificial fish swarm algorithm for multi-objective disassembly line balancing problems [J].
Wang K. ;
Zhang Z. ;
Mao L. ;
Li L. .
Zhang, Zeqiang, 1600, Chinese Mechanical Engineering Society (28) :183-190