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Overtime Assignment and Job Satisfaction in Noise-Safe Job Rotation Scheduling

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Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11471))

Abstract

Under a harsh industrial environment, workforce safety, and satisfaction are key characteristics of a successful manufacturing operation. This paper proposes a job rotation approach that schedules workers based on NIOSH’s noise-exposure criteria and worker satisfaction related to overtime assignments. Multi-period noise-safe job rotation models are developed to determine optimal job rotation schedules for a heterogeneous workforce with different skill levels and preferences for preferred overtime periods. Demand requirements and the effect of job rotation on process continuity are considered. A numerical example is used to validate the usefulness and effectiveness of the proposed models. The scheduling models are solved under two main objectives: minimizing the total labor cost and maximizing the minimum level of worker satisfaction. Then, a multi-objective optimization technique is applied to find the most suitable compromise solution between the two objectives. The ability of the proposed models to promote worker-satisfaction equality is discussed.

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Acknowledgement

The authors gratefully acknowledge the financial support provided by Thammasat University Research Fund under the TU Research Scholar, Contract No. 2/21/2560.

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Authors and Affiliations

  1. Department of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand

    Pavinee Rerkjirattikal & Sun Olapiriyakul

Authors
  1. Pavinee Rerkjirattikal
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  2. Sun Olapiriyakul
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Corresponding author

Correspondence to Sun Olapiriyakul .

Editor information

Editors and Affiliations

  1. Osaka University, Toyonaka, Osaka, Japan

    Hirosato Seki

  2. Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan

    Canh Hao Nguyen

  3. Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Van-Nam Huynh

  4. Osaka University, Toyonaka, Osaka, Japan

    Masahiro Inuiguchi

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Rerkjirattikal, P., Olapiriyakul, S. (2019). Overtime Assignment and Job Satisfaction in Noise-Safe Job Rotation Scheduling. In: Seki, H., Nguyen, C., Huynh, VN., Inuiguchi, M. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2019. Lecture Notes in Computer Science(), vol 11471. Springer, Cham. https://doi.org/10.1007/978-3-030-14815-7_3

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  • DOI: https://doi.org/10.1007/978-3-030-14815-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14814-0

  • Online ISBN: 978-3-030-14815-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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