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A model for rest allowance estimation to improve tasks assignment to operators

Author

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  • Martina Calzavara
  • Alessandro Persona
  • Fabio Sgarbossa
  • Valentina Visentin

Abstract

Manual activities are still present in production systems, such as order picking in warehouses, material handling in production systems, loading and unloading of work centres. Many scientific contributions have widely demonstrated production system efficiency is strictly linked to the operator wellbeing. In fact, activities at different pace and duration imply different productivity but also different effects on the fatigue accumulation acquired by the operators, with consequently required resting period. It is necessary to integrate operator fatigue and recovery analysis into traditional decision support models for the design and management of production systems.This paper aims to present an analytical model for setting the time necessary for operators to recover from the performed activity. According to previous research, the exponential trend of fatigue accumulation and recovery alleviation is studied. The energy expenditure rate, predicted with heart rate monitoring, is used to model the fatigue/recovery level, varying the physiological factors of the operators and the characteristics of the analysed manual activities. The model is limited to the activities where the whole body is used rather than a specific part stressed continuously. Finally, it is applied to optimise the scheduling of activities among operators in a manual order picking system. It is demonstrated that its use improves performance in terms of productivity.

Suggested Citation

  • Martina Calzavara & Alessandro Persona & Fabio Sgarbossa & Valentina Visentin, 2019. "A model for rest allowance estimation to improve tasks assignment to operators," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 948-962, February.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:3:p:948-962
    DOI: 10.1080/00207543.2018.1497816
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    Cited by:

    1. Tiziana Modica & Sara Perotti & Marco Melacini, 2021. "Green Warehousing: Exploration of Organisational Variables Fostering the Adoption of Energy-Efficient Material Handling Equipment," Sustainability, MDPI, vol. 13(23), pages 1-15, November.
    2. Xu, Shuling & Hall, Nicholas G., 2021. "Fatigue, personnel scheduling and operations: Review and research opportunities," European Journal of Operational Research, Elsevier, vol. 295(3), pages 807-822.
    3. Vasiliki Kapou & Stavros T. Ponis & George Plakas & Eleni Aretoulaki, 2022. "An Innovative Layout Design and Storage Assignment Method for Manual Order Picking with Respect to Ergonomic Criteria," Logistics, MDPI, vol. 6(4), pages 1-21, December.
    4. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
    5. Al Theeb Nader A. & Al-Araidah Omar & Al-Ali Malik M. & Khudair Adnan I., 2023. "Impact of Human Energy Expenditure on Order Picking Productivity: A Monte Carlo Simulation Study in a Zone Picking System," Engineering Management in Production and Services, Sciendo, vol. 15(4), pages 12-24, December.

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