Open AccessDevelopment of Matching Modeling for Human Resource Allocation of Shelter Management by the Set Theory
Author(s) -
Muneyoshi Numada
Publication year - 2021
Publication title -
journal of disaster research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.332
H-Index - 18
eISSN - 1883-8030
pISSN - 1881-2473
DOI - 10.20965/jdr.2021.p0719
Subject(s) - matching (statistics) , work (physics) , resource allocation , set (abstract data type) , resource management (computing) , human resources , human resource management , computer science , resource (disambiguation) , operations research , operations management , knowledge management , medicine , engineering , economics , management , mechanical engineering , computer network , pathology , programming language
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.