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The Effect of Parameters on the Success of Heuristic Algorithms in Personalized Personnel Scheduling

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Advances in Intelligent Manufacturing and Service System Informatics (IMSS 2023)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Work-life balance is an approach that aims to enable employees to balance their work, family, and private lives. It is seen that the factors in the work-life balance are not relevant to work and family, considering the activities that one wishes for oneself, friendships and social life. For this reason, it has become mandatory for working people to devote enough time to their business life, family life and private life to protect their physical and mental health. This is particularly important in health-care sector, where the peace of mind of workers influences the outcoming service significantly. Within the scope of this study, a framework (also implemented as a software) for health-care workers has been developed in order to make weekly and monthly scheduling suitable for work-life balance. Three population-based heuristic algorithms for scheduling, namely genetic algorithm, ant colony and particle swarm optimization algorithms, are integrated into the system to optimize the schedules. The system aims to show optimal schedules for both which personnel is to work in which time zones of the hospital administrators and in which time zones the individual personnel is planned to work. The proposed approach allows doctors, as the most flexible workers, to opt the working hours and periods in a hospital flexibly. This study provides comparative results to demonstrate the performance of the three algorithms integrated to optimize the generated personal schedules optimized with respect to one's own preferences. Furthermore, it identifies the boundaries of the parameters affecting the success with Taguchi Method.

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Author information

Authors and Affiliations

  1. Momentum BT, Technopolis Antalya R&D-2 Building, Antalya, Turkey

    Esra Gülmez

  2. Department of Industrial Engineering, Suleyman Demirel University, Isparta, Turkey

    Kemal Burak Urgancı & Halil İbrahim Koruca

  3. University of the West of England, Bristol, UK

    Mehmet Emin Aydin

Authors
  1. Esra Gülmez
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  2. Kemal Burak Urgancı
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  3. Halil İbrahim Koruca
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  4. Mehmet Emin Aydin
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Corresponding author

Correspondence to Halil İbrahim Koruca .

Editor information

Editors and Affiliations

  1. Istanbul Medipol University, Istanbul, Türkiye

    Zekâi Şen

  2. Department of Industrial Engineering, Sakarya University, Serdivan, Sakarya, Türkiye

    Özer Uygun

  3. Faculty of Applied Sciences, Sakarya University of Applied Sciences, Kaynarca, Sakarya, Türkiye

    Caner Erden

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Gülmez, E., Urgancı, K.B., Koruca, H.İ., Aydin, M.E. (2024). The Effect of Parameters on the Success of Heuristic Algorithms in Personalized Personnel Scheduling. In: Şen, Z., Uygun, Ö., Erden, C. (eds) Advances in Intelligent Manufacturing and Service System Informatics. IMSS 2023. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-6062-0_55

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  • DOI: https://doi.org/10.1007/978-981-99-6062-0_55

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6061-3

  • Online ISBN: 978-981-99-6062-0

  • eBook Packages: EngineeringEngineering (R0)

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