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- Publisher Website: 10.1109/TII.2021.3051896
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Article: Flexible worker allocation in aircraft final assembly line using multi-objective evolutionary algorithms
Title | Flexible worker allocation in aircraft final assembly line using multi-objective evolutionary algorithms |
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Authors | |
Keywords | Worker allocation aircraft final assembly line multi-stage workstation multi-objective evolutionary algorithm Cyber-Physical production system |
Issue Date | 2021 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9424 |
Citation | IEEE Transactions on Industrial Informatics, 2021, Epub 2021-01-15 How to Cite? |
Abstract | In a paced aircraft final assembly line, some disturbances can be collected timely on the basis of the Cyber-Physical production system (CPPS). In order to reduce the execution deviation, some workers need to switch among stations after a fixed period. Thus, a worker allocation problem with the multi-stage workstation is introduced firstly. Then an integer programming formulation is presented to formulate the problem with the objective of shortest workstation cycle and the workload balance of both stations and workers. Moreover, a modified non-dominated sorting genetic algorithm (NSGA-IV) is proposed to solve it, which trades off the convergence and the population diversity in the decision space. Finally, the NSGA-IV algorithm compares with five multi-objective evolutionary algorithms (MOEA) in a real-world case. Compared to manual allocation, the takt time of an aircraft final assembly line is reduced by 20.86% by using the NSGA-IV algorithm. |
Persistent Identifier | http://hdl.handle.net/10722/295519 |
ISSN | 2023 Impact Factor: 11.7 2023 SCImago Journal Rankings: 4.420 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Fang, P | - |
dc.contributor.author | Yang, J | - |
dc.contributor.author | Liao, Q | - |
dc.contributor.author | Zhong, RY | - |
dc.contributor.author | Jiang, Y | - |
dc.date.accessioned | 2021-01-25T11:16:01Z | - |
dc.date.available | 2021-01-25T11:16:01Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | IEEE Transactions on Industrial Informatics, 2021, Epub 2021-01-15 | - |
dc.identifier.issn | 1551-3203 | - |
dc.identifier.uri | http://hdl.handle.net/10722/295519 | - |
dc.description.abstract | In a paced aircraft final assembly line, some disturbances can be collected timely on the basis of the Cyber-Physical production system (CPPS). In order to reduce the execution deviation, some workers need to switch among stations after a fixed period. Thus, a worker allocation problem with the multi-stage workstation is introduced firstly. Then an integer programming formulation is presented to formulate the problem with the objective of shortest workstation cycle and the workload balance of both stations and workers. Moreover, a modified non-dominated sorting genetic algorithm (NSGA-IV) is proposed to solve it, which trades off the convergence and the population diversity in the decision space. Finally, the NSGA-IV algorithm compares with five multi-objective evolutionary algorithms (MOEA) in a real-world case. Compared to manual allocation, the takt time of an aircraft final assembly line is reduced by 20.86% by using the NSGA-IV algorithm. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9424 | - |
dc.relation.ispartof | IEEE Transactions on Industrial Informatics | - |
dc.rights | IEEE Transactions on Industrial Informatics. Copyright © Institute of Electrical and Electronics Engineers. | - |
dc.rights | ©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Worker allocation | - |
dc.subject | aircraft final assembly line | - |
dc.subject | multi-stage workstation | - |
dc.subject | multi-objective evolutionary algorithm | - |
dc.subject | Cyber-Physical production system | - |
dc.title | Flexible worker allocation in aircraft final assembly line using multi-objective evolutionary algorithms | - |
dc.type | Article | - |
dc.identifier.email | Zhong, RY: zhongzry@hku.hk | - |
dc.identifier.authority | Zhong, RY=rp02116 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TII.2021.3051896 | - |
dc.identifier.scopus | eid_2-s2.0-85099732034 | - |
dc.identifier.hkuros | 321018 | - |
dc.identifier.volume | Epub 2021-01-15 | - |
dc.identifier.isi | WOS:000679533900027 | - |
dc.publisher.place | United States | - |