A multi-objective disassembly planning approach with ant colony optimization algorithm

Author:

Lu C1,Huang H Z1,Fuh J Y H2,Wong Y S2

Affiliation:

1. School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, People's Republic of China

2. Department of Mechanical Engineering, National University of Singapore, Singapore

Abstract

This paper proposes a multi-objective disassembly planning approach with an ant colony optimization algorithm. The mechanism of ant colony optimization in disassembly planning is discussed, and the objectives to be optimized in disassembly planning are analysed. In order to allow a more effective search for feasible non-dominated solutions, a multi-objective searching algorithm with uniform design is investigated to guide the ants searching the routes along the uniformly scattered directions towards the Pareto frontier; based on the above searching algorithm, an ant colony optimization algorithm for disassembly planning is developed. The results of a case study are given to verify the proposed approach.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-objective Ant Colony Optimization: Review;Archives of Computational Methods in Engineering;2024-09-10

2. An improved disassembly hybrid graph model for selective disassembly sequence planning;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2023-09-30

3. Mechanical disassembly sequence planning for end-of-life products to maximize recyclability;Sādhanā;2023-06-20

4. Dynamic Bayesian network-based disassembly sequencing optimization for electric vehicle battery;CIRP Journal of Manufacturing Science and Technology;2022-08

5. The AAPF fault-tolerant method for small and complex product assembly;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2021-11-10

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