Research on multi-objective optimal scheduling considering the balance of labor workload distribution.

In order to solve the problem of unbalanced workload of employees in parallel flow shop scheduling, a method of job standard balance is proposed to describe the work balance of employees. The minimum delay time of completion and the imbalance of employee work are taken as the two goals of the model....

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Auteurs principaux: Zhengyu Hu, Wenrui Liu, Shengchen Ling, Kuan Fan
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2021
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Accès en ligne:https://doaj.org/article/9ef36f7046b54224b8a64cce8cc846ee
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spelling oai:doaj.org-article:9ef36f7046b54224b8a64cce8cc846ee2021-12-02T20:15:10ZResearch on multi-objective optimal scheduling considering the balance of labor workload distribution.1932-620310.1371/journal.pone.0255737https://doaj.org/article/9ef36f7046b54224b8a64cce8cc846ee2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0255737https://doaj.org/toc/1932-6203In order to solve the problem of unbalanced workload of employees in parallel flow shop scheduling, a method of job standard balance is proposed to describe the work balance of employees. The minimum delay time of completion and the imbalance of employee work are taken as the two goals of the model. A bi-objective nonlinear integer programming model is proposed. NSGA-II-EDSP, NSGA-II-KES, and NSGA-II-QKES heuristic rule algorithms are designed to solve the problem. A number of computational experiments of different sizes are conducted, and compared with solutions generated by NSGA-II. The experimental results show the advantages of the proposed model and method, which error is reduced 14.56%, 15.16% and 15.67%.Zhengyu HuWenrui LiuShengchen LingKuan FanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0255737 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Zhengyu Hu
Wenrui Liu
Shengchen Ling
Kuan Fan
Research on multi-objective optimal scheduling considering the balance of labor workload distribution.
description In order to solve the problem of unbalanced workload of employees in parallel flow shop scheduling, a method of job standard balance is proposed to describe the work balance of employees. The minimum delay time of completion and the imbalance of employee work are taken as the two goals of the model. A bi-objective nonlinear integer programming model is proposed. NSGA-II-EDSP, NSGA-II-KES, and NSGA-II-QKES heuristic rule algorithms are designed to solve the problem. A number of computational experiments of different sizes are conducted, and compared with solutions generated by NSGA-II. The experimental results show the advantages of the proposed model and method, which error is reduced 14.56%, 15.16% and 15.67%.
format article
author Zhengyu Hu
Wenrui Liu
Shengchen Ling
Kuan Fan
author_facet Zhengyu Hu
Wenrui Liu
Shengchen Ling
Kuan Fan
author_sort Zhengyu Hu
title Research on multi-objective optimal scheduling considering the balance of labor workload distribution.
title_short Research on multi-objective optimal scheduling considering the balance of labor workload distribution.
title_full Research on multi-objective optimal scheduling considering the balance of labor workload distribution.
title_fullStr Research on multi-objective optimal scheduling considering the balance of labor workload distribution.
title_full_unstemmed Research on multi-objective optimal scheduling considering the balance of labor workload distribution.
title_sort research on multi-objective optimal scheduling considering the balance of labor workload distribution.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/9ef36f7046b54224b8a64cce8cc846ee
work_keys_str_mv AT zhengyuhu researchonmultiobjectiveoptimalschedulingconsideringthebalanceoflaborworkloaddistribution
AT wenruiliu researchonmultiobjectiveoptimalschedulingconsideringthebalanceoflaborworkloaddistribution
AT shengchenling researchonmultiobjectiveoptimalschedulingconsideringthebalanceoflaborworkloaddistribution
AT kuanfan researchonmultiobjectiveoptimalschedulingconsideringthebalanceoflaborworkloaddistribution
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