A Disassembly Sequence Planning Method With Team-Based Genetic Algorithm for Equipment Maintenance in Hydropower Station

Since the electric vehicle battery (EVB) is wildly recycled in industry, the disassembly procedures of variable EVBs is so important that can influence the efficiency and environmental impacts in remanufacturing. To improve disassembly efficiency in EVB remanufacturing, a disassembly sequence planning method based on frame-subgroup structure is proposed in this paper. Firstly, the improved disassembly relation hybrid graph and disassembly relation matrix are proposed to identify the disassembly precedence relationship and connection relationship between the components in EVB. Secondly, the frame - subgroup structure is given, and the method for solving disassembly sequence planning with frame-subgroup structure and genetic algorithm is introduced. In this method, to simplify the series of processes such as encoding, decoding, crossover and mutation, the solution space composed of all disassembly sequences is transformed into the positive integer sequence for the disassembly efficiency in battery remanufacturing. Finally, the case study of EVB disassembly sequence planning is presented to validate the feasibility of this proposed method. Comparing with other traditional methods, the advantage and application of this proposed method are introduced.

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Disassembly sequence planning based on a genetic algorithm

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406214557340 ◽

2014 ◽

Vol 229 (12) ◽

pp. 2281-2290 ◽

Cited By ~ 21

Author(s):

Maroua Kheder ◽

Moez Trigui ◽

Nizar Aifaoui

Keyword(s):

Genetic Algorithm ◽

Research Literature ◽

Component Part ◽

Crucial Issue ◽

Process Plan ◽

Disassembly Sequence Planning ◽

Sequence Planning ◽

Disassembly Process ◽

Disassembly Sequence ◽

Complicated Task

Disassembly sequence planning is a relatively new subject and has only recently gained interest in the research literature. Disassembly simulations are important not only for improving product design, but also for maintaining an updated process plan, which becomes a tedious and complicated task given the complexity of today’s mechanisms. The crucial issue, in the generation of disassembly plans, is the rise in the amount of sequences, especially with the increase of the number of parts in the mechanism. For this reason, it is crucial to seek an optimal feasible method for the disassembly process. In this paper, an optimized disassembly process based on a genetic algorithm is proposed. The method takes into account several criteria such as maintainability of usury component, part volume, tools change and the change of disassembly directions. The results obtained demonstrate the satisfactory side of these criteria to identify a feasible disassembly sequence.

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A Genetic Algorithm for Product Disassembly Sequence Planning

2006 IEEE International Conference on Engineering of Intelligent Systems ◽

10.1109/iceis.2006.1703209 ◽

2006 ◽

Cited By ~ 1

Author(s):

Wang Hui ◽

Xiang Dong ◽

Duan Guanghong

Keyword(s):

Genetic Algorithm ◽

Disassembly Sequence Planning ◽

Sequence Planning ◽

Disassembly Sequence ◽

Product Disassembly

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A novel selective disassembly sequence planning method for adaptive reuse of buildings

Journal of Cleaner Production ◽

10.1016/j.jclepro.2018.02.201 ◽

2018 ◽

Vol 183 ◽

pp. 998-1010 ◽

Cited By ~ 37

Author(s):

Benjamin Sanchez ◽

Carl Haas

Keyword(s):

Adaptive Reuse ◽

Planning Method ◽

Disassembly Sequence Planning ◽

Sequence Planning ◽

Disassembly Sequence ◽

Selective Disassembly

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A systematic approach in remanufacturing for high efficiency and low cost: The selective parallel disassembly sequence planning

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

10.1177/09544054211041036 ◽

2021 ◽

pp. 095440542110410

Author(s):

Lei Zhang ◽

Yuanfeng Wu ◽

Ziqi Li ◽

Yu Zheng ◽

Yongqiang Ren ◽

...

Keyword(s):

Genetic Algorithm ◽

High Efficiency ◽

Low Cost ◽

Sustainable Manufacturing ◽

Hybrid Genetic Algorithm ◽

Disassembly Sequence Planning ◽

Sequence Planning ◽

Disassembly Sequence ◽

Critical Activity ◽

Disassembly Time

With the growth of environmental awareness, remanufacturing and sustainable manufacturing have become hot issues. Disassembly is the first step and critical activity in remanufacturing. Traditional disassembly sequence planning (DSP) focusses on sequential disassembly. However, it is inefficient for complicated products because only one manipulator is employed to execute disassembly operations. Thus, this work focusses on parallel DSP (PDSP) and proposes a selective parallel disassembly sequence planning (SPDSP) methodology, which performs disassembly compared to sequential DSP and PDSP. In this paper, a mathematical model is used to describe the constraint and precedence relationships, and a parallel sequence model is designed for parallel disassembly. A novel hybrid genetic algorithm (NHGA) based-multi-objective model of SPDSP is proposed for optimisation. In this model, two indicators are integrated: disassembly time (including basic disassembly time, tool exchange time and direction change time) and disassembly costs. A transmission box is used as an instance, and a comparison with conventional genetic algorithm (GA), simulated annealing (SA) and tabu search (TS) is made to validate the practicality of the proposed methodology.

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