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The single machine scheduling problem with bio-mathematical fatigue constraints.

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Title: The single machine scheduling problem with bio-mathematical fatigue constraints.
Authors: Wang, Zhaotong1 (AUTHOR), Deng, Tianhu1 (AUTHOR) deng13@tsinghua.edu.cn, Meng, Yize2 (AUTHOR), Guo, Han3 (AUTHOR)
Source: International Journal of Production Research. Aug2025, Vol. 63 Issue 15, p5649-5670. 22p.
Subjects: Fatigue (Physiology), Scheduling, Production management (Manufacturing), Safety, Biomathematics, Manufacturing industries, Linear programming, Heuristic
Abstract: Despite the adverse impacts of occupational fatigue such as accidents and injuries in the manufacturing industry, it has not been systematically examined in the literature on production scheduling. In this paper, we integrate the classic bio-mathematical fatigue prediction model from the brain science literature into the simple single machine scheduling problem with sequence-dependent setup times. Then, we formulate the problem as a mixed-integer linear programming model and propose an adaptive large neighborhood search heuristic. The effectiveness of the heuristic is numerically validated through real cases. Finally, we argue that considering bio-mathematical fatigue prediction can lead to safer production schedules, notably reducing the fatigue working hours in our real case. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: The single machine scheduling problem with bio-mathematical fatigue constraints.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Aug2025, Vol. 63 Issue 15, p5649-5670. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Fatigue+%28Physiology%29%22">Fatigue (Physiology)</searchLink><br /><searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Production+management+%28Manufacturing%29%22">Production management (Manufacturing)</searchLink><br /><searchLink fieldCode="DE" term="%22Safety%22">Safety</searchLink><br /><searchLink fieldCode="DE" term="%22Biomathematics%22">Biomathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+industries%22">Manufacturing industries</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+programming%22">Linear programming</searchLink><br /><searchLink fieldCode="DE" term="%22Heuristic%22">Heuristic</searchLink>
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  Data: Despite the adverse impacts of occupational fatigue such as accidents and injuries in the manufacturing industry, it has not been systematically examined in the literature on production scheduling. In this paper, we integrate the classic bio-mathematical fatigue prediction model from the brain science literature into the simple single machine scheduling problem with sequence-dependent setup times. Then, we formulate the problem as a mixed-integer linear programming model and propose an adaptive large neighborhood search heuristic. The effectiveness of the heuristic is numerically validated through real cases. Finally, we argue that considering bio-mathematical fatigue prediction can lead to safer production schedules, notably reducing the fatigue working hours in our real case. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/00207543.2025.2459290
    Languages:
      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 5649
    Subjects:
      – SubjectFull: Fatigue (Physiology)
        Type: general
      – SubjectFull: Scheduling
        Type: general
      – SubjectFull: Production management (Manufacturing)
        Type: general
      – SubjectFull: Safety
        Type: general
      – SubjectFull: Biomathematics
        Type: general
      – SubjectFull: Manufacturing industries
        Type: general
      – SubjectFull: Linear programming
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      – SubjectFull: Heuristic
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      – TitleFull: The single machine scheduling problem with bio-mathematical fatigue constraints.
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            NameFull: Wang, Zhaotong
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            NameFull: Deng, Tianhu
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            NameFull: Meng, Yize
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            NameFull: Guo, Han
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            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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