Partial/Parallel Disassembly Sequence Planning for Complex Products

Author:

Tao Fei1,Bi Luning2,Zuo Ying2,Nee A. Y. C.3

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China e-mail:

2. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China

3. Department of Mechanical Engineering, National University of Singapore, Singapore 117576, Singapore

Abstract

Disassembly is a very important step in recycling and maintenance, particularly for energy saving. However, disassembly sequence planning (DSP) 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 (DPM) 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 (EBs). The comparison results of three different disassembly strategies prove that the partial/parallel disassembly has a great advantage in reducing disassembly time, and improving EBs and disassembly profit (DP).

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Beijing Nova Program

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

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