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Research Papers

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, China
e-mail: ftao@buaa.edu.cn

Luning Bi, Ying Zuo

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

A. Y. C. Nee

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

1Corresponding author.

Manuscript received May 1, 2017; final manuscript received August 4, 2017; published online November 21, 2017. Assoc. Editor: Karl R. Haapala.

J. Manuf. Sci. Eng 140(1), 011016 (Nov 21, 2017) (10 pages) Paper No: MANU-17-1298; doi: 10.1115/1.4037608 History: Received May 01, 2017; Revised August 04, 2017

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).

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Figures

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Fig. 1

Disassembly process of fasteners, components, and modules

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Fig. 2

Flowchart of sequence generation in partial/parallel disassembly

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Fig. 3

Structure of proposed HH

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Fig. 4

Flowchart for TS-EDHH

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Fig. 5

Structure of a three-axis transmission case

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Fig. 6

Optimal solution in partial/parallel disassembly test (Dir.: direction)

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Fig. 7

Comparison with other algorithms for PP-DSP

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Fig. 8

Optimal disassembly sequence for CP-DSP

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Fig. 9

Comparison with other algorithms for CP-DSP

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Fig. 10

Optimal disassembly sequence for PS-DSP

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Fig. 11

Comparison with other algorithms for PS-DSP

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Fig. 12

Optimal values of EB in three experiments

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