Intelligent selective disassembly using the ant colony algorithm

Wang, J. F.; Liu, J. H.; Li, S. Q.; Zhong, Yi

doi:10.1017/s0890060403174045

Cited by 54 publications

(29 citation statements)

References 27 publications

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“…Disassembly sequences can be of two different natures: selective or partial. Selective disassembly (service-oriented disassembly) places emphasis on a particular component and optimizes a disassembly sequence for this specific component as mentioned by Wang et al [9]. Instead of focusing on a particular component, partial disassembly (recovery-oriented disassembly) determines the best disassembly sequence within feasibility limits.…”

Section: Dismantling and Disassembly/process Planningmentioning

confidence: 99%

Process for Advanced Management and Technologies of Aircraft EOL

et al. 2015

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Different possibilities are available to treat aircraft end-of-life (EOL), each with positive and negative impacts on the 3 spheres of sustainable development. EOL processing includes 4 major steps: decontamination, disassembly of reused or remanufactured parts, dismantling of the remaining carcass, materials recovery and valorization and/or landfill. In this paper, we present general methods to dispose of and/or implement profitable rebirthing processes and a dedicated infrastructure for end-of-life aircraft (real Bombardier CRJ100) and helicopters operated in Canada. This work is critical to help aircraft manufacturers design current and next generation aircraft and to facilitate disposal after use. The scope of this project is well rounded and includes all aspects related to dismantling of an aircraft; from legal, to scientific and engineering. These aspects are studied using both modeling and experimental approaches.

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Section: Dismantling and Disassembly/process Planningmentioning

confidence: 99%

Process for Advanced Management and Technologies of Aircraft EOL

et al. 2015

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“…Otherwise, if its value equal to 0, which means that there is no connection need to be operated for disassembly. Currently several algorithm have been presented for solving suitable disassembly operation according to quantitative model of hybrid graph [13][14][15]. (2) After a part or component is detached, the corresponding information should be removed from Gc and Gp.…”

Section: Quantitative Model Of Hybrid Graphmentioning

confidence: 99%

Research of Partial Destructive based Selective Disassembly Sequence Planning

Zi-qiang¹,

Griffiths²,

Zhang³

et al. 2015

TOMEJ

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Abstract:In the process of recycling EOL (end of life) products, disassembly is an important stage. Moreover, there are several targets for disassembly: reuse, remanufacturing and material recycling. In order to improve the efficiency of disassembly, only the component which need to be reused or remanufactured need to be disassembled with nondestructive method. The rest components which recycled for material can be disassembled with partial destructive method. Namely, partial destructive disassembly is more practical than total disassembly within recycling process for EOL products. In this paper, the generally used partial destructive disassembly methods are analyzed. And several rules are defined for reconstructing the hybrid graph of EOL product. And then, an extended Floyd algorithm is proposed for searching optimized disassembly sequence. With this algorithm, the material properties of parts, connection properties between parts or components are taking into account. By ranking the cost of several possible disassembly path, the optimal disassembly sequence is obtained for target component. At last, a soybean milk machine is used as a study case to verify the former approach.

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“…J.F. Wang et al used ant colony algorithm to search optimal disassembly sequence in disassembly process planning [12]. Elif Kongar et al presented a genetic algorithm to determine the best disassembly sequence [13].…”

Section: Fuzzy Cost Model For Disassembly Process Planningmentioning

confidence: 99%

Fuzzy-Clustering Based Cost Modeling of Disassembly Planning for EOL Products

Zi-qiang¹,

Griffiths²,

Zhaoren³

et al. 2015

TOMEJ

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Cost model is a key issue in the disassembly process planning, because the optimized disassembly sequence is determined by ranking several possible disassembly operations. In this study, a fuzzy cost model for disassembly processes was developed based on the fuzzy clustering method. The objective was to solve the problems in the practical applications of currently used quantitative models of disassembly cost model, which is based on the change times of the tools operation or the disassembly time. The sample data were obtained through the disassembly tests of the typical EOL (end-of-life) products. Following this , the transitive closure operations were performed after standardization and normalization. Dynamic clustering was carried out on the basis of above results, and appropriate clustering results were selected to construct the membership function of fuzzy costs. This study also proposed a method of proportional interpolation to expand the directly built membership function to the uncovered discourse domain, resulting in more practical fuzzy cost models. Finally, the disassembly process of a general reducer was adopted as an example to verify the feasibility of the above method. © Ziqiang et al.; Licensee Bentham OpenThis is an open access article licensed under the terms of the (https://creativecommons.org/licenses/by/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

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Intelligent selective disassembly using the ant colony algorithm

Cited by 54 publications

References 27 publications

Process for Advanced Management and Technologies of Aircraft EOL

Process for Advanced Management and Technologies of Aircraft EOL

Research of Partial Destructive based Selective Disassembly Sequence Planning

Fuzzy-Clustering Based Cost Modeling of Disassembly Planning for EOL Products

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