An improved artificial bee colony algorithm for the multi-objective cooperative disassembly sequence optimization problem considering carbon emissions and profit

被引:3
|
作者
Chen, Zhaofang [1 ]
Cheng, Hao [1 ]
Liu, Yongfeng [2 ]
Aljuaid, Mohammed [3 ]
机构
[1] Fujian Univ Technol, Sch Management, Fuzhou, Peoples R China
[2] Minist Transport, Transport Planning & Res Inst, Beijing, Peoples R China
[3] King Saud Univ, Coll Business Adm, Dept Hlth Adm, Riyadh, Saudi Arabia
关键词
Multi-objective optimization; cooperative disassembly; carbon emissions; improved artificial bee colony algorithm; sustainable development;
D O I
10.1080/0305215X.2024.2329988
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The disassembly and recycling of electronic waste are essential for realizing residual value, lowering carbon emissions and fostering sustainable development. This article addresses multi-objective cooperative disassembly planning and algorithm optimization for waste mobile phones. The model aims to reduce carbon emissions during the disassembly process and to increase profits. Moreover, an improved artificial bee colony (IABC) algorithm is introduced to address the model. The model is validated using Apple smartphones as a case study. The results indicate that cooperative disassembly can lower carbon emissions by 21.04% and increase profits by 40.04% more than sequential disassembly. The efficiency of the improved algorithm was assessed using Friedman and Nemenyi tests. Significant differences were found between the IABC and the other three algorithms, with significant P-values of P = 0.001, P = 0.006 and P = 0.024. It is demonstrated that the proposed model and improved algorithm exhibit reliability and superiority.
引用
收藏
页码:649 / 670
页数:22
相关论文
共 50 条
  • [21] Improved Artificial Bee Colony Algorithm for Disassembly Line Balancing Problem
    Zhang Z.
    Hu Y.
    Chen C.
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2016, 51 (05): : 910 - 917
  • [22] Solving Multi-Objective Resource Allocation Problem Using Multi-Objective Binary Artificial Bee Colony Algorithm
    Yilmaz Acar, Zuleyha
    Basciftci, Fatih
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2021, 46 (09) : 8535 - 8547
  • [23] An improved artificial bee colony algorithm for solving multi-objective low-carbon flexible job shop scheduling problem
    Li, Yibing
    Huang, Weixing
    Wu, Rui
    Guo, Kai
    APPLIED SOFT COMPUTING, 2020, 95
  • [24] Solving Multi-Objective Resource Allocation Problem Using Multi-Objective Binary Artificial Bee Colony Algorithm
    Zuleyha Yilmaz Acar
    Fatih Başçiftçi
    Arabian Journal for Science and Engineering, 2021, 46 : 8535 - 8547
  • [25] Modeling and optimization of multi-objective partial disassembly line balancing problem considering hazard and profit
    Wang, Kaipu
    Li, Xinyu
    Gao, Liang
    JOURNAL OF CLEANER PRODUCTION, 2019, 211 : 115 - 133
  • [26] Multi-Objective Artificial Bee Colony algorithm applied to the bi-objective orienteering problem
    Martin-Moreno, Rodrigo
    Vega-Rodriguez, Miguel A.
    KNOWLEDGE-BASED SYSTEMS, 2018, 154 : 93 - 101
  • [27] Multi-objective artificial bee colony algorithm for reducing carbon emission and maximizing profit in a circular supply chain network
    Sakthivel, Aravind Raj
    Vimal, K. E. K.
    Kandasamy, Jayakrishna
    Shiva, S. N.
    Jayanth, Gideon
    Nishanth, A. Shanmuga
    Kumar, D. Vignesh
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [28] An Improved Multi-Objective Artificial Bee Colony Algorithm for Pattern Synthesis of Conformal Arrays
    Liu, Chao
    Zheng, Fang
    Kai, Caihong
    2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2016, : 265 - 270
  • [29] Multi-objective fuzzy disassembly line balancing using a hybrid discrete artificial bee colony algorithm
    Kalayci, Can B.
    Hancilar, Arif
    Gungor, Askiner
    Gupta, Surendra M.
    JOURNAL OF MANUFACTURING SYSTEMS, 2015, 37 : 672 - 682
  • [30] Multi-objective path planning for mobile robot with an improved artificial bee colony algorithm
    Yu, Zhenao
    Duan, Peng
    Meng, Leilei
    Han, Yuyan
    Ye, Fan
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 20 (02) : 2501 - 2529