基于零件回收综合评价的废旧产品拆解序列与拆解深度集成决策研究

doi:10.3901/JME.2022.04.258

机械工程学报 ›› 2022, Vol. 58 ›› Issue (4): 258-268.doi: 10.3901/JME.2022.04.258

扫码分享

基于零件回收综合评价的废旧产品拆解序列与拆解深度集成决策研究

郭洪飞^1,2, 陈志彬¹, 任亚平^1,2, 屈挺^1,2, 李建庆³

1. 暨南大学智能科学与工程学院珠海 519070;
2. 暨南大学物联网与物流工程研究院珠海 519070;
3. 澳门科技大学资讯科技学院澳门 999078

收稿日期:2021-05-09 修回日期:2021-11-01 出版日期:2022-02-20 发布日期:2022-04-30
通讯作者: 任亚平(通信作者),男,1995年出生,博士,副教授,硕士研究生导师。主要研究方向为可持续设计与制造、产品拆解决策理论与方法、优化算法设计及应用。E-mail:renyp1@163.com
作者简介:郭洪飞,男,1980年出生,博士,副教授,硕士研究生导师。主要研究方向为智能制造、工业物联网、数字孪生等。E-mail:ghf-2005@163.com
基金资助:
广东省基础与应用基础研究基金联合基金(2019A1515110399)、中央高校基本科研业务费专项资金(21620360)、广东省学位与研究生教育改革研究(2019JGXM15)、广州市科技计划(202002030321)、国家自然科学基金(51875251)、广州市创新领军团队(201909010006)、"广东特支计划"本土创新创业团队(2019BT02S593)、国家教育部"蓝火计划"(惠州)产学研联合创新基金(CXZJHZ20)和广东省研究生教育创新计划(82620516)资助项目。

Research on Disassembly Sequence and Disassembly Length Integrated Decision of End-of-life Products Based on Parts Recovery Comprehensive Evaluation

GUO Hongfei^1,2, CHEN Zhibin¹, REN Yaping^1,2, QU Ting^1,2, LI Jianqing³

1. School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai 519070;
2. Institute of Physical Internet, Jinan University, Zhuhai 519070;
3. Faculty of Information Technology, Macau University of Science and Technology, Macao 999078

Received:2021-05-09 Revised:2021-11-01 Online:2022-02-20 Published:2022-04-30

摘要/Abstract

摘要： 产品更新换代的速度不断加快导致生活中废旧产品的数量与日俱增，对废旧产品进行合理拆解并回收再利用已成为发展可持续制造的重要途经。论文针对废旧产品拆解规划问题，将零件回收评价融入拆解序列和拆解深度的决策过程。综合考虑影响废旧产品内部零件回收效益的多项评价指标/准则以及这些评价指标/准则间的相互作用关系，构建零件回收综合评价模型，并基于零件回收综合评价模型提出拆解序列与拆解深度集成决策方法，利用零件回收效益评价值快速确定可行且高质量的拆解序列和拆解深度，以最大化废旧产品的回收效益。最后以动力电池和随机生成的不同规模废旧产品为拆解对象，验证论文构建的模型和提出的方法的可行性与有效性，计算结果表明零件回收综合评价模型和拆解序列与拆解深度集成决策方法在计算效率上的优势会随着废旧产品规模的扩大而增加。

关键词: 废旧产品, 拆解规划, 零件回收综合评价, 拆解序列排序, 拆解深度决策

Abstract: The accelerating speed of product upgrading has led to an increasing number of end-of-life products. Proper disassembly and recovery of end-of-life products have become an important way to develop sustainable manufacturing. To solve the problem of disassembly planning of end-of-life products, the parts recovery evaluation is integrated into the decision-making process of the disassembly sequence and disassembly length. Comprehensively consider a number of evaluation indicators/criteria that affect the recovery efficiency of internal parts of end-of-life products and the interaction between these evaluation indicators/criteria to establish a parts recovery comprehensive evaluation model. Based on the parts recovery comprehensive evaluation model, a disassembly sequence and disassembly length integrated decision-making method is proposed, and the evaluation value of parts recovery efficiency is used to quickly determine feasible and high-quality disassembly sequence and disassembly length to maximize therecovery efficiency of end-of-life products. A power battery and randomly generated end-of-life products of different scales are applied to verify the feasibility, effectiveness of the proposed model and method. The computational results show that the advantages of the parts recovery comprehensive evaluation model and disassembly sequence and disassembly length integrated decision-making method in calculation efficiency will increase with the expansion of the scale of end-of-life products.

Key words: end-of-life products, disassembly planning, parts recovery comprehensive evaluation, disassembly sequence sequencing, disassembly length decision-making

中图分类号:

TH165

郭洪飞, 陈志彬, 任亚平, 屈挺, 李建庆. 基于零件回收综合评价的废旧产品拆解序列与拆解深度集成决策研究[J]. 机械工程学报, 2022, 58(4): 258-268.

GUO Hongfei, CHEN Zhibin, REN Yaping, QU Ting, LI Jianqing. Research on Disassembly Sequence and Disassembly Length Integrated Decision of End-of-life Products Based on Parts Recovery Comprehensive Evaluation[J]. Journal of Mechanical Engineering, 2022, 58(4): 258-268.

参考文献

[1] REN Y,JIN H,ZHAO F,et al. A multiobjective disassembly planning for value recovery and energy conservation from end-of-life products[J]. IEEE Transactions on Automation Science and Engineering,2020,18(2):791-803.
[2] MA J,CHEN H,ZHANG Y,et al. A digital twin-driven production management system for production workshop[J]. The International Journal of Advanced Manufacturing Technology,2020,110(5):1385-1397.
[3] EZHILARASU C M,JENNIONS I K. A system-level failure propagation detectability using anfis for an aircraft electrical power system[J]. Applied Sciences,2020,10(8):2854.
[4] GUO H,LIAN X,ZHANG Y,et al. Analysis of environmental policy's impact on remanufacturing decision under the effect of green network using differential game model[J]. IEEE Access,2020,8:115251-115262.
[5] GUO H,CHEN M,ZHANG R,et al. Research on improvement of truck vibration based on systematic G8D method[J]. Shock and Vibration,2019,2019:1-11.
[6] REN Y,YU D,ZHANG C,et al. An improved gravitational search algorithm for profit-oriented partial disassembly line balancing problem[J]. International Journal of Production Research,2017,55(24):7302-7316.
[7] 任亚平.废旧产品拆解序列规划问题建模与优化研究[D].武汉:华中科技大学,2019. REN Yaping. Research on the modeling and optimization of disassembly sequence planning problem for used products[D]. Wuhan:Huazhong University of Science and Technology,2019.
[8] LAMBERT A J D. Optimizing disassembly processes subjected to sequence-dependent cost[J]. Computers&Operations Research,2007,34(2):536-551.
[9] TSENG H E,CHANG C C,LEE S C,et al. A block-based genetic algorithm for disassembly sequence planning[J]. Expert Systems with Applications,2018,96:492-505.
[10] KHEDER M,TRIGUI M,AIFAOUI N. Disassembly sequence planning based on a genetic algorithm[J]. Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,2015,229(12):2281-2290.
[11] 朱卓悦,徐志刚,沈卫东,等.基于遗传蝙蝠算法的选择性拆卸序列规划[J].浙江大学学报,2018,52(11):2120-2127,2135. ZHU Zhuoyue,XU Zhigang,SHEN Weidong,et al. Selective-disassembly sequence planning based on genetic-bat algorithm[J]. Journal of ZheJiang University,2018,52(11):2120-2127,2135.
[12] 宋守许,张文胜,张雷.基于改进人工蜂群算法的产品拆卸序列规划[J].中国机械工程,2016,27(17):2384-2390. SONG Shouxu,ZHANG Wensheng,ZHANG Lei. Product disassembly sequence planning based on improved artificial bee colony algorithm[J]. China Mechanical Engineering,2016,27(17):2384-2390.
[13] SMITH S,HSU L Y,SMITH G C. Partial disassembly sequence planning based on cost-benefit analysis[J]. Journal of Cleaner Production,2016,139:729-739.
[14] FENG Y,ZHOU M C,TIAN G,et al. Target disassembly sequencing and scheme evaluation for CNC machine tools using improved multiobjective ant colony algorithm and fuzzy integral[J]. IEEE Transactions on Systems,Man,and Cybernetics:Systems,2018,49(12):2438-2451.
[15] 田广东,张洪浩,王丹琦.基于模糊AHP-灰色关联TOPSIS的拆解方案评估研究[J].机械工程学报,2017,53(5):34-40. TIAN Guangdong,ZHANG Honghao,WANG Danqi,et al. Disassembly program evaluation research based on fuzzy AHP,grey correlation and TOPSIS combined approach[J]. Journal of Mechanical Engineering,2017,53(5):34-40.
[16] REN Y,ZHANG C,ZHAO F,et al. An MCDM-based multiobjective general variable neighborhood search approach for disassembly line balancing problem[J]. IEEE Transactions on Systems,Man,Cybernetics:Systems,2018,50(10):3770-3783.
[17] ALAMEREW Y A,BRISSAUD D. Evaluation of remanufacturing for product recovery:Multi-criteria decision tool for end-of-life selection strategy[C/CD]//3rd International Conference on Remanufacturing,2017.
[18] GUO H,ZHANG L,ZHANG Y,et al. A differential game-based approach for school-enterprise collaborative R&D strategy on digital twin technology[J]. IEEE Access,2020,8:188688-188698.
[19] GUO H,ZHANG R,ZHU Y,et al. Sustainable quality control mechanism of heavy truck production process for Plant-wide production process[J]. International Journal of Production Research,2020,58(24):7548-7564.
[20] REN Y,ZHANG C,ZHAO F,et al. Disassembly line balancing problem using interdependent weights-based multi-criteria decision making and 2-Optimal algorithm[J]. Journal of Cleaner Production,2018,174:1475-1486.
[21] GUO H,ZHU Y,ZHANG Y,et al. A digital twin-based layout optimization method for discrete manufacturing workshop[J]. The International Journal of Advanced Manufacturing Technology,2021,112(5):1307-1318.
[22] QIANG Y,LIN Y,TIAN G. A novel MCDM-based approach for disassembly line balancing problem[C]//2017 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE,2017:151-156.
[23] 石辛民,郝整清.模糊控制及其MATLAB仿真[M].北京:清华大学出版社,2008. SHI Xinmin,HAO Zhengqing. Fuzzy control and MATLAB simulation[M]. Beijing:Tsinghua University Press,2008.
[24] 郝楠楠,郑兵,张超勇.灰模糊积分在多目标决策中的应用[J].浙江大学学报,2018,52(04):663-673. HAO Nannan,ZHENG Bing,ZHANG Chaoyong. Application of gray fuzzy integral in multi-objective decisions[J]. Journal of Zhejiang University,2018,52(4):663-673.
[25] DELGADO M,HERRERA F,HERRERA-VIEDMA E,et al. Combining numerical and linguistic information in group decision making[J]. Information Sciences,1998,107(1-4):177-194.
[26] 王熙照.模糊测度和模糊积分及在分类技术中的应用[M].北京:科学出版社,2008. WANG Xizhao. Fuzzy measure and fuzzy integral and application in classification technology[M]. Beijing:Science Press,2008.
[27] 罗亚波.面向作业车间调度的基于拓扑排序的二级嵌套蚁群算法研究[J].机械工程学报,2015,51(8):178-184. LUO Yabo. Topological sorting-based two-stage nestedant colony algorithm for job-shop scheduling problem[J]. Journal of Mechanical Engineering,2015,51(8):178-184.
[28] 郭伟祥,刘光复,刘志峰,等.产品材料回收经济性分析与决策[J].农业机械学报,2006,37(12):150-154. GUO Weixiang,LIU Guangfu,LIU Zhifeng,et al. Economic analysis and decision-making for material recycling[J]. Transactions of the Chinese Society for Agricultural Machinery,2006,37(12):150-154.
[29] RALLO H,BENVENISTE G,GESTOSO I,et al. Economic analysis of the disassembling activities to the reuse of electric vehicles Li-ion batteries[J]. Resources,Conservation,Recycling,2020,159:104785.
[30] ALFARO-ALGABA M,RAMIREZ F J. Techno-economic and environmental disassembly planning of lithium-ion electric vehicle battery packs for remanufacturing[J]. Resources,Conservation and Recycling,2020,154:104461.
[31] REN Y,ZHANG C,ZHAO F,et al. An asynchronous parallel disassembly planning based on genetic algorithm[J]. European Journal of Operational Research,2018,269(2):647-660.

基于零件回收综合评价的废旧产品拆解序列与拆解深度集成决策研究

Research on Disassembly Sequence and Disassembly Length Integrated Decision of End-of-life Products Based on Parts Recovery Comprehensive Evaluation

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

编辑推荐

Metrics

本文评价