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Rehabilitation Staff Scheduling Problem Considering Mental Workload in Elderly Daytime Care Facility

In: Intelligent Engineering and Management for Industry 4.0

Author

Listed:
  • Ryohei Matsumoto

    (The University of Electro-Communications)

  • Tetsuo Yamada

    (The University of Electro-Communications)

  • Masato Takanokura

    (Kanagawa University)

Abstract

Recently, in Japan, the importance of elderly daytime care facilities which provide nursing care services has been increasing. Rehabilitation services such as massages by licensed staff and exercises using equipment and machines are offered in these facilities. Multiple staff members execute the rehabilitation services according to a staff schedule. However, the staff in the facilities often face problems of heavy workload. The workload problems of the staff were not grasped earlier since analysis of the workload based on the industrial engineering (IE) method was not conducted in the facilities. Therefore, there is a possibility that the workloads of the staff are not well-balanced in the schedule. In addition, it is considered that the staff have two types of workloads: physical and mental, since they offer their services to human beings instead of working with products and materials in factories. Thus, it is necessary to consider the mental workloads on staff in planning staff schedules in order to ensure that they are well-balanced. This study addresses a staff scheduling problem for elderly daytime care facilities considering mental workloads of the staff and plans a balanced schedule to incorporate the mental workloads. A balanced schedule for mental workloads among staff members is planned based on the workload survey that included an interview and questionnaire, conducted on actual staff members. The results are discussed by comparing the findings with the current schedule and the balanced one for physical workloads.

Suggested Citation

  • Ryohei Matsumoto & Tetsuo Yamada & Masato Takanokura, 2022. "Rehabilitation Staff Scheduling Problem Considering Mental Workload in Elderly Daytime Care Facility," Springer Books, in: Yong-Hong Kuo & Yelin Fu & Peng-Chu Chen & Calvin Ka-lun Or & George G. Huang & Junwei Wang (ed.), Intelligent Engineering and Management for Industry 4.0, pages 117-126, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-94683-8_11
    DOI: 10.1007/978-3-030-94683-8_11
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