Selective disassembly sequencing with random operation times in parallel disassembly environment

Kim, HyungWon; Park, Chuljin; Lee, Dong‐Ho

doi:10.1080/00207543.2018.1432911

Cited by 43 publications

(16 citation statements)

References 48 publications

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“…For example, Boothroyd and Alting (1992) discuss the complete deterministic case, Gungor and Gupta (1998) discussed the disassembly sequencing when uncertainty is involved when there is no specific target component. Taking the research forward, the paper by Kim, Park, and Lee (2018) dealt with selective disassembly where the aim is to extract one or more target components from the discarded product. Random operation time was considered in a parallel disassembly environment when the problem was to determine the order of disassembly operation.…”

Section: Design For Assembly and Disassemblymentioning

confidence: 99%

“…With the objective to minimise the sum of disassembly and penalty costs, the authors develop a stochastic integer programming model. The possible disassembly sequences are represented using an extended process graph (Kim, Park, and Lee 2018). The authors propose a solution algorithm that is based on sample average approximation technique and illustrate its efficacy using the case of handheld flashlight torch.…”

Section: Design For Assembly and Disassemblymentioning

confidence: 99%

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Design for manufacturing and assembly/disassembly: joint design of products and production systems

Battaïa

Dolgui

Heragu

et al. 2018

International Journal of Production Research

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Design for Manufacturing, Assembly, and Disassembly is important in today's production systems because if this aspect is not considered, it could lead to inefficient operations and excessive material usage, both of which have a significant impact on manufacturing cost and time. Attention to this topic is important in achieving the target standards of Industry 4.0 which is inclusive of material utilisation, manufacturing operations, machine utilisation, features selection of the products, and development of suitable interfaces with information communication technologies (ICT) and other evolving technologies. Design for manufacturing (DFM) and Design for Assembly (DFA) have been around since the 1980's for rectifying and overcoming the difficulties and waste related to the manufacturing as well as assembly at the design stage. Furthermore, this domain includes a decision support system and knowledge base with manufacturing and design guidelines following the adoption of ICT. With this in mind, 'Design for manufacturing and assembly/disassembly: Joint design of products and production systems', a special issue has been conceived and its contents are elaborated in detail. In this paper, a background of the topics pertaining to DFM, DFA and related topics seen in today's manufacturing systems are discussed. The accepted papers of this issue are categorised in multiple sections and their significant features are outlined.Keywords: design for manufacturing; design for assembly; design for assembly and disassembly; design for additive manufacturing; disassembly line balancing *Corresponding author.

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Section: Design For Assembly and Disassemblymentioning

confidence: 99%

Section: Design For Assembly and Disassemblymentioning

confidence: 99%

Design for manufacturing and assembly/disassembly: joint design of products and production systems

Battaïa

Dolgui

Heragu

et al. 2018

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…However, the disassembly process can be controlled by human. Disassembly is a process in which the operator removes components from the assembly by a certain sequence (Kim et al, 2018). Even if the same assembly is disassembled and the same components are obtained, different disassembly sequences will lead to different results in disassembly benefit, disassembly time and so on.…”

Section: Introductionmentioning

confidence: 99%

Electric Vehicle Battery Disassembly Sequence Planning Based on Frame-Subgroup Structure Combined with Genetic Algorithm

Zhang

et al. 2020

Front. Mech. Eng.

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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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“…However, previous research has assumed that the component relations of a product extracted from its original CAD model remain unchanged and the product condition is entirely predictable and impacts only on the processing time and the final profit [17] [18]. The disassembly of an EoL product is done by a series of predetermined operations.…”

Section: Introductionmentioning

confidence: 99%

Robotic disassembly re-planning using a two-pointer detection strategy and a super-fast bees algorithm

Laili

Tao

Pham

et al. 2019

Robotics and Computer-Integrated Manufacturing

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Selective disassembly sequencing with random operation times in parallel disassembly environment

Cited by 43 publications

References 48 publications

Design for manufacturing and assembly/disassembly: joint design of products and production systems

Design for manufacturing and assembly/disassembly: joint design of products and production systems

Electric Vehicle Battery Disassembly Sequence Planning Based on Frame-Subgroup Structure Combined with Genetic Algorithm

Robotic disassembly re-planning using a two-pointer detection strategy and a super-fast bees algorithm

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