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https://hdl.handle.net/11499/8084
Title: | Ant colony optimization for sequence-dependent disassembly line balancing problem | Authors: | Kalaycı, Can Berk Gupta, S.M. |
Keywords: | Ant colony optimization Combinatorial optimization Disassembly Metaheuristics Optimization techniques Product recovery Production planning and control Sequence-dependent disassembly line balancing Disassembly line balancing Meta heuristics Computational complexity Heuristic algorithms Production control Profitability Artificial intelligence |
Abstract: | Purpose - The purpose of this paper is to introduce sequence-dependent disassembly line balancing problem (SDDLBP) to the literature and propose an efficient metaheuristic solution methodology to this NP-complete problem. Design/methodology/approach - This manuscript utilizes a well-proven metaheuristics solution methodology, namely, ant colony optimization, to address the problem. Findings - Since SDDLBP is NP-complete, finding an optimal balance becomes computationally prohibitive due to exponential growth of the solution space with the increase in the number of parts. The proposed methodology is very fast, generates (near) optimal solutions, preserves precedence requirements and is easy to implement. Practical implications - Since development of cost effective and profitable disassembly systems is an important issue in end-of-life product treatment, every step towards improving disassembly line balancing brings us closer to cost savings and compelling practicality. Originality/value - This paper introduces a new problem (SDDLBP) and an efficient solution to the literature. © Emerald Group Publishing Limited. | URI: | https://hdl.handle.net/11499/8084 https://doi.org/10.1108/17410381311318909 |
ISSN: | 1741-038X |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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