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research-article

Partial/parallel disassembly sequence planning for complex products

[+] Author and Article Information
Fei Tao

School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, P. R. China
ftao@buaa.edu.cn

Luning Bi

School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, P. R. China
biluning@buaa.edu.cn

Ying Zuo

School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, P. R. China
zuoying226@126.com

A Y C Nee

Department of Mechanical Engineering, National University of Singapore 117576, Singapore
mpeneeyc@nus.edu.sg

1Corresponding author.

ASME doi:10.1115/1.4037608 History: Received May 01, 2017; Revised August 04, 2017

Abstract

Disassembly is a very important step in recycling and maintenance, particularly for energy saving. However, disassembly sequence planning is a challenging combinatorial optimization problem due to complex constraints of many products. This paper considers partial and parallel disassembly sequence planning for solving the degrees of freedom in modular product design, considering disassembly time, cost and energy consumption. An automatic self-decomposed disassembly precedence matrix is designed to generate partial/parallel disassembly sequence for reducing complexity and improving efficiency. A Tabu search based hyper heuristic algorithm with exponentially decreasing diversity management strategy is proposed. Compared with the low-level heuristics, the proposed algorithm is more efficient in terms of exploration ability and improving energy benefits. The comparison results of three different disassembly strategies prove that the partial/parallel disassembly has a great advantage in reducing disassembly time, and improving energy benefits and disassembly profit.

Copyright (c) 2017 by ASME
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