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JDR Vol.16 No.4 pp. 719-732
(2021)
doi: 10.20965/jdr.2021.p0719

Paper:

Development of Matching Modeling for Human Resource Allocation of Shelter Management by the Set Theory

Muneyoshi Numada

Interfaculty Initiative in Information Studies/Institute of Industrial Science, The University of Tokyo
4-6-1 Komaba, Meguro-ku, Tokyo, Japan

Corresponding author

Received:
September 14, 2020
Accepted:
December 28, 2020
Published:
June 1, 2021
Keywords:
matching model, set theory, human resource allocation, shelter management
Abstract

The purpose of this study is to develop a support system for planning human resource allocation of shelter management by modeling the matching between the shelter and the staff on the basis of the set theory approach to enable sufficient days off, reduce long work hours, and consideration for appropriate rotation without causing the mental and physical deterioration of the shelter management staff. Using this matching model, a basic study was conducted to determine the appropriate human resource allocation to manage the shelter with a small number of staff members, free from unbalanced work days. The study results elucidate the relationship between the number of possible consecutive work days and that of required consecutive days off. In addition, the human resource allocations with experience in shelter management and the setting method of days off were modeled and their results are presented in this study.

Cite this article as:
Muneyoshi Numada, “Development of Matching Modeling for Human Resource Allocation of Shelter Management by the Set Theory,” J. Disaster Res., Vol.16, No.4, pp. 719-732, 2021.
Data files:
References
  1. [1] Cabinet Office, “Survey and study report on the role of evacuation centers,” 2019 (in Japanese).
  2. [2] Cabinet Office, “Evacuation Center Management Guidelines,” April 2016 (in Japanese).
  3. [3] Cabinet Office, “Regarding the response to COVID-19 in evacuation centers,” April 1, 2020 (in Japanese).
  4. [4] Cabinet Office, “Regarding further response to COVID-19 in evacuation centers,” April 7, 2020 (in Japanese).
  5. [5] Cabinet Office, “Regarding the status of preparedness by local governments to take measures against COVID-19 and secure evacuation shelters in the event of a disaster,” May 27, 2020 (in Japanese).
  6. [6] Kumamoto Prefecture, “Review report on the response to the 2016 Kumamoto earthquake for approximately three months,” March 31, 2017 (in Japanese).
  7. [7] K. Suzuki, Y. Murayama, and K. Wakabayashi, “Previous Studies and Future Issues on a Nurse Scheduling Problem,” Proc. of the 77th National Convention of Information Processing Society of Japan, pp. 213-214, 2015 (in Japanese).
  8. [8] K. Meguro and Y. Ishihara, “Study for Efficient Management of Disaster Response Personnel and Activities,” Seisankenkyu, Vol.53, No.11, pp. 606-609, 2001 (in Japanese).
  9. [9] Y. Kuwata and H. Yasui, “Staff Mobilization of Water Supply Department in Large City after an Earthquake,” J. of Japan Society of Civil Engineers, Ser. A1 (Structural Engineering & Earthquake Engineering (SE/EE)), Vol.65, No.1, pp. 536-543, 2009 (in Japanese with English abstract).
  10. [10] J. Inaba, M. Numada, and K. Meguro, “Basic Study on Estimation of Workloads and Duration of Disaster Response Activities by Municipalities,” Seisankenkyu, Vol.67, No.4, pp. 311-315, 2015 (in Japanese).
  11. [11] M. Inoue, I. Suetomi, J. Fukuoka, S. Onishi, M. Numada, and K. Meguro, “Development of Estimation Formula of Disaster Response Work Volume based on the Kumamoto Earthquake,” Seisankenkyu, Vol.70, No.4, pp. 289-297, 2018 (in Japanese).
  12. [12] M. Numada and Y. Oyama, “Disaster response process and simulation of human resources allocation for efficient disaster medical relief system,” Seisankenkyu, Vol.70, No.4, pp. 309-317, 2018 (in Japanese).
  13. [13] K. Miwa, “Study of Operation and Staff Scheduling in Retail Store,” J. of Nagoya Gakuin University, Vol.51, No.4, pp. 143-158, 2015 (in Japanese).
  14. [14] S. Yasukura, H. Utsumi, S. Matsui, and S. Terada, “Applying the Genetic Algorithms to Collector Scheduling for Municipal Solid Wastes,” Environmental Systems Research, Vol.32, pp. 297-302, 2004 (in Japanese).
  15. [15] T. Kobayashi and T. Takahashi, “Nursing Staff Supplement Scheduling Using LP,” J. of Japanese Association for Health Care Administrators, Vol.7, No.1, pp. 43-53, 2013 (in Japanese).
  16. [16] Crisis Management and Disaster Prevention Division, Kumamoto Prefectural Governor’s Office, “Prefectural Staff Questionnaire Survey Results Report on the 2016 Kumamoto Earthquake,” March 13, 2017 (in Japanese).
  17. [17] A. Sakurai, K. Kohduki, and K. Yamamoto, “Postdisaster Psychosomatic Care Indispensable for All the Supporters and Official Personnel Concerned : In the Light of the Great Hanshin-Awaji Earthquake, the Great East Japan Earthquake, and Other Catastrophe,” Japanese J. of Psychosomatic Medicine, Vol.57, No.3, pp. 243-250, 2017 (in Japanese).
  18. [18] Ministry of Internal Affairs and Communications, “6. Further Promotion of Efforts to Prevent Suicide Related to the 2011 Great East Japan Earthquake Disaster,” “Administrative Evaluation and Monitoring Results Report on Suicide Prevention Measures,” June 22, 2012 (in Japanese).
  19. [19] N. Yokoyama, “An Empirical Study of the Relationship between Retail Mix and Customer Satisfaction by Using fsQCA,” Organizational Science, Vol.51, No.2, pp. 14-27, 2017 (in Japanese).
  20. [20] N. Oomichi and A. Okada, “Staffing Problems in the Workplace –Examples of Applying Matching Game Theory–,” Communications of the Operations Research Society of Japan, Vol.41, No.3, pp. 683-690, 1996 (in Japanese).
  21. [21] D. Gale and L. S. Shapley, “College Admissions and the Stability of Marriage,” The American Mathematical Monthly, Vol.69, pp. 9-15, 1962.

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Last updated on Jun. 22, 2021