Robotic disassembly sequence planning using enhanced discrete bees algorithm in remanufacturing

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Robotic disassembly sequence planning using enhanced discrete bees algorithm in remanufacturing. / Liu, Jiayi; Zhou, Zude; Pham, Duc Truong; Xu, Wenjun; Ji, Chunqian; Liu, Quan.

In: International Journal of Production Research, Vol. 56, No. 9, 03.05.2018, p. 3134-3151.

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@article{73f85d1af79a477aa601ceeb8610cfb3,
title = "Robotic disassembly sequence planning using enhanced discrete bees algorithm in remanufacturing",
abstract = "Increasing attention is being paid to remanufacturing due to environmental protection and resource saving. Disassembly, as an essential step of remanufacturing, is always manually finished which is time-consuming while robotic disassembly can improve disassembly efficiency. Before the execution of disassembly, generating optimal disassembly sequence plays a vital role in improving disassembly efficiency. In this paper, to minimise the total disassembly time, an enhanced discrete Bees algorithm (EDBA) is proposed to solve robotic disassembly sequence planning (RDSP) problem. Firstly, the modified feasible solution generation (MFSG) method is used to build the disassembly model. After that, the evaluation criterions for RDSP are proposed to describe the total disassembly time of a disassembly sequence. Then, with the help of mutation operator, EDBA is proposed to determine the optimal disassembly sequence of RDSP. Finally, case studies based on two gear pumps are used to verify the effectiveness of the proposed method. The performance of EDBA is analysed under different parameters and compared with existing optimisation algorithms used in disassembly sequence planning (DSP). The result shows the proposed method is more suitable for robotic disassembly than the traditional method and EDBA generates better quality of solutions compared with the other optimisation algorithms.",
keywords = "disassembly sequence planning, enhanced discrete bees algorithm, intelligent optimisation, remanufacturing, robotic disassembly sequence planning",
author = "Jiayi Liu and Zude Zhou and Pham, {Duc Truong} and Wenjun Xu and Chunqian Ji and Quan Liu",
year = "2018",
month = may,
day = "3",
doi = "10.1080/00207543.2017.1412527",
language = "English",
volume = "56",
pages = "3134--3151",
journal = "International Journal of Production Research",
issn = "0020-7543",
publisher = "Taylor & Francis",
number = "9",

}

RIS

TY - JOUR

T1 - Robotic disassembly sequence planning using enhanced discrete bees algorithm in remanufacturing

AU - Liu, Jiayi

AU - Zhou, Zude

AU - Pham, Duc Truong

AU - Xu, Wenjun

AU - Ji, Chunqian

AU - Liu, Quan

PY - 2018/5/3

Y1 - 2018/5/3

N2 - Increasing attention is being paid to remanufacturing due to environmental protection and resource saving. Disassembly, as an essential step of remanufacturing, is always manually finished which is time-consuming while robotic disassembly can improve disassembly efficiency. Before the execution of disassembly, generating optimal disassembly sequence plays a vital role in improving disassembly efficiency. In this paper, to minimise the total disassembly time, an enhanced discrete Bees algorithm (EDBA) is proposed to solve robotic disassembly sequence planning (RDSP) problem. Firstly, the modified feasible solution generation (MFSG) method is used to build the disassembly model. After that, the evaluation criterions for RDSP are proposed to describe the total disassembly time of a disassembly sequence. Then, with the help of mutation operator, EDBA is proposed to determine the optimal disassembly sequence of RDSP. Finally, case studies based on two gear pumps are used to verify the effectiveness of the proposed method. The performance of EDBA is analysed under different parameters and compared with existing optimisation algorithms used in disassembly sequence planning (DSP). The result shows the proposed method is more suitable for robotic disassembly than the traditional method and EDBA generates better quality of solutions compared with the other optimisation algorithms.

AB - Increasing attention is being paid to remanufacturing due to environmental protection and resource saving. Disassembly, as an essential step of remanufacturing, is always manually finished which is time-consuming while robotic disassembly can improve disassembly efficiency. Before the execution of disassembly, generating optimal disassembly sequence plays a vital role in improving disassembly efficiency. In this paper, to minimise the total disassembly time, an enhanced discrete Bees algorithm (EDBA) is proposed to solve robotic disassembly sequence planning (RDSP) problem. Firstly, the modified feasible solution generation (MFSG) method is used to build the disassembly model. After that, the evaluation criterions for RDSP are proposed to describe the total disassembly time of a disassembly sequence. Then, with the help of mutation operator, EDBA is proposed to determine the optimal disassembly sequence of RDSP. Finally, case studies based on two gear pumps are used to verify the effectiveness of the proposed method. The performance of EDBA is analysed under different parameters and compared with existing optimisation algorithms used in disassembly sequence planning (DSP). The result shows the proposed method is more suitable for robotic disassembly than the traditional method and EDBA generates better quality of solutions compared with the other optimisation algorithms.

KW - disassembly sequence planning

KW - enhanced discrete bees algorithm

KW - intelligent optimisation

KW - remanufacturing

KW - robotic disassembly sequence planning

UR - http://www.scopus.com/inward/record.url?scp=85048230165&partnerID=8YFLogxK

U2 - 10.1080/00207543.2017.1412527

DO - 10.1080/00207543.2017.1412527

M3 - Article

AN - SCOPUS:85048230165

VL - 56

SP - 3134

EP - 3151

JO - International Journal of Production Research

JF - International Journal of Production Research

SN - 0020-7543

IS - 9

ER -