Journal of Japan Industrial Management Association
Online ISSN : 2187-9079
Print ISSN : 1342-2618
ISSN-L : 1342-2618
Volume 68 , Issue 4E
Showing 1-2 articles out of 2 articles from the selected issue
Original Paper (Theory and Methodology)
  • Kaoru KURAMOTO, Takahiro OHNO
    Type: Original Paper (Theory and Methodology)
    2018 Volume 68 Issue 4E Pages 251-258
    Published: January 15, 2018
    Released: February 15, 2018

    We proposed a “basic model” logarithmic least squares fuzzy model for the pairwise comparison of nurse performance evaluation to reflect the effects of an evaluator's personal preferences and the rate scale used. In this study, we propose a new tranquility model for determining the evaluation elemental membership value estimated from the basic model. First, it involves the gathering of basic checklist data of nurse capability and paired comparison data from a single hospital in Fukushima Prefecture, from which we estimate the essential parameters (each evaluation element's weight wj, evaluation phase k's membership value fk, overall evaluated value Zi) using the basic model. Second, we define Fri as k's membership value in the overall evaluation phase and Ari as the overall evaluation value of the analytic hierarchy process. We then calculate the Kullback-Leibler divergence between Fri and Ari and between Zi and Ari to consider the adequacy of the basic model. Moreover, we estimate the priority of nurse capabilities that should be emphasized using MRTQ, MTQ-1, and MTQ-2 in development of suggestions made in our previous work to consider the adequacy of our model.

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Original Paper (Case Study)
  • - A Case Study at Aichi Medical University Hospital -
    Mari ITO, Aino ONISHI, Atsuo SUZUKI, Akira IMAMURA, Takuya ITO
    Type: Original Paper (Case Study)
    2018 Volume 68 Issue 4E Pages 259-272
    Published: January 15, 2018
    Released: February 15, 2018

    In this paper, we introduce two mathematical programming models of the resident scheduling problem (RSP). These were designed to solve the RSP in rotation and night-shift scheduling of residents at a hospital in Japan. Automatic scheduling is designed to support management in challenges such as increasing the satisfaction of residents and reducing the scheduling workload. To achieve this, we placed weighted penalties on soft constraints and used objective functions to automatically generate the schedules. The results improved the management of resident scheduling, and comparisons with schedules drawn up by hand confirmed the superiority of those produced by the systems. Following some fine-tuning based on user feedback, our night-shift scheduling system was put into use at Aichi Medical University Hospital in January 2016.

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