Modern Manufacturing Engineering ›› 2025, Vol. 536 ›› Issue (5): 106-114.doi: 10.16731/j.cnki.1671-3133.2025.05.013

Previous Articles     Next Articles

Study on the disassembly line balancing problem of crank train of end-of-life car engine based on improved bees algorithm

ZHAN Changshu, HUANG Xinyue, GAO Yanlong   

  1. College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin 150040,China
  • Received:2024-09-25 Online:2025-05-18 Published:2025-05-30

Abstract: With the increasing global number of vehicles, end-of-life cars pose growing environmental and resource challenges. Disassembly, recycling, and remanufacturing are key solutions. However, their complex structure creates sequence dependence among disassembly tasks, while part deterioration introduces uncertainty, affecting efficiency. To develop a practical disassembly approach, it first formulates a stochastic programming model to represent uncertain information, establishing a multi-objective sequence-dependent disassembly line balancing problem under uncertainty, optimising time, energy consumption, and idle time equilibrium. Next, an improved bees algorithm with innovative search operators is proposed, incorporating a roulette wheel strategy for adaptive weight updates. Finally, a case study on a crank train from a scrapped engine validates the model and algorithm.

Key words: Disassembly Line Balancing Problem (DLBP), sequence dependence, uncertainty, Improved Bees Algorithm (IBA)

CLC Number: 

Copyright © Modern Manufacturing Engineering, All Rights Reserved.
Tel: 010-67126028 E-mail: 2645173083@qq.com
Powered by Beijing Magtech Co. Ltd