Dynamic Scheduling in Inpatient Nursing
Mingang Cheng*1,*3, Hiromi Itoh Ozaku*2,*3, Noriaki Kuwahara*3,*4, Kiyoshi Kogure*3, and Jun Ota*1,*3
*1Department of Precision Engineering, the University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
*2National Institute of Information and CommunicationsTechnology
4-2-1, Nukui-Kitamachi, Koganei, Tokyo 184-8795, Japan
*3Knowledge Science Laboratories, Advanced Telecommunications Research Institute International (ATR)
2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan
*4Department of Advanced Fibro-Science, Kyoto Institute of Technology
1 Hashigami-cho, Matsugasaki, Sakyo-ku, Kyoto 606-8585, Japan
To shorten the notoriously long waits for service in hospitals in Japan and to improve efficiency, we propose a scheduling algorithm with a 2-layer local search based on simulated annealing — permutating (switching) (i) tasks among nurses and (ii) subtasks on each nurse. The scheduling algorithm generates a solution initializing our proposed dynamic scheduling to iteratively generate new, feasible schedules based on the scheduling algorithm to accommodate interruptions while preventing nurses’ work hours from increasing. To verify the effectiveness of our proposed scheduling, we executed a set of nursing scheduling problems taken from those actually observed and focused on those that featuring frequent interruptions.
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