Modeling and Optimization of Partial Disassembly Line Balancing Problem Considering Interactions Among Precedence Free Tasks

With the development of science and technology and the acceleration of product renewal, a large number of waste products are generated. In this paper, considering interactions among precedence free tasks, a partial disassembly line balancing problem with sequence dependent setup times is investigated. From the efficiency, energy consumption and revenue concerns, a multi-objective mathematical model of the problem is established with the objectives of minimizing the smoothing index, energy consumption and maximizing the profit. An improved moth-flame optimization algorithm is proposed to solve the problem. The effectiveness of the proposed model and algorithm is verified by an instance and the disassembly sequences of different solutions are analyzed.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/iccea65460.2025.11103176
Primary Topic
Assembly Line Balancing Optimization
Type
article
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article

Modeling and Optimization of Partial Disassembly Line Balancing Problem Considering Interactions Among Precedence Free Tasks

Liying Dong, Jia Liu, Shuwei Wang
Assembly Line Balancing Optimization
article

Modeling and Optimization of Partial Disassembly Line Balancing Problem Considering Interactions Among Precedence Free Tasks

Liying Dong, Jia Liu, Shuwei Wang
article en

Abstract

With the development of science and technology and the acceleration of product renewal, a large number of waste products are generated. In this paper, considering interactions among precedence free tasks, a partial disassembly line balancing problem with sequence dependent setup times is investigated. From the efficiency, energy consumption and revenue concerns, a multi-objective mathematical model of the problem is established with the objectives of minimizing the smoothing index, energy consumption and maximizing the profit. An improved moth-flame optimization algorithm is proposed to solve the problem. The effectiveness of the proposed model and algorithm is verified by an instance and the disassembly sequences of different solutions are analyzed.

Qingdao University of Science and Technology (CN), Shandong University of Science and Technology (CN)
Reduced inequalities
Openalex Percentile: Top 72%
Assembly Line Balancing Optimization
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