Abstract
AbstractThe recycling and remanufacturing of end-of-life products are significant for environmental protection and resource conservation. Disassembly is an essential process of remanufacturing end-of-life products. Effective disassembly plans help improve disassembly efficiency and reduce disassembly costs. This paper studies a disassembly planning problem with operation attributes, in which an integrated decision of the disassembly sequence, disassembly directions, and disassembly tools are made. Besides, a mathematical model is formulated with the objective of minimizing the penalty cost caused by the changing of operation attributes. Then, a neighborhood modularization-based artificial bee colony algorithm is developed, which contains a modular optimized design. Finally, two case studies with different scales and complexities are used to verify the performance of the proposed approach, and experimental results show that the proposed algorithm outperforms the two existing methods within an acceptable computational time.
Funder
Science and technology plan project in Guangzhou
the Basic and Applied Basic Research Foundation of Guangdong Province of China
the Guangdong Academic Degree and Graduate Education Reform Research Project
Jinan University Graduate Education and Teaching Achievement Cultivation Project
the Fundamental Research Funds for the Central Universities
Science and technology plan project in Inner Mongolia autonomous region
Guangdong Province Higher Education Teaching Research and Reform Project
the Guangdong Graduate Education Innovation Project
the Major project of Science and Technology Plan of Hohhot
the Guangzhou Leading Innovation Team Program
Jinan University Off-campus Practice Teaching Base Construction Project
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
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