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> ICHIHARA Hiroyuki
（Last updated : 2025-08-11 10:06:51）
ICHIHARA Hiroyuki
Department / Course
College of Business Administration and Information Science Department of Management Synthesis
Center for Mathematical Science and Artificial Intelligence
Graduate School of Business Administration and Information Science Department of Business Administration and Information Science
Job
Senior Assistant Professor
Achievement
Academic background
Business career
Present specialized field
Book and thesis
Academic conference presentation
Academic background
2016/04～2019/09
Doctoral Program (2nd Semester) Graduate School, Division of Science and Engineering Nanzan University Finished
Business career
2021/04 ～ 2023/03
Assistant Professor
Present specialized field
オペレーションズ・リサーチ
Book and thesis
Papers
An Algorithm for Obtaining the Pareto-Optimal Solutions of the Reservation Frame Allocations in a Complete Reservation System Proceedings of the 30th ISSAT International Conference on Reliability and Quality in Design,pp.198-202 (Co-authored) 2025/08
Papers
Optimal Allocation Based on the Estimated Distributions of Waiting Times and Overtime - For the Optimal Design of the Medical Reservation Frames－,pp.97-108 (Sole-authored) 2025/06
Papers
Optimal Reservation Frame Allocation by Queueing Simulation for a Complete Reservation System Proceedings of the 29th ISSAT International Conference on Reliability and Quality in Design,pp.22-26 (Sole-authored) 2024/08/08
Papers
On the Distribution of Waiting Time of Outpatients in a Hospital Proceedings of the 13th International Conference on Queueing Theory and Network Applications (QTNA2018),pp.64-68 (Co-authored) 2018
Papers
A Scheduling System for Anesthesiologists - A Case Study in Aichi Medical University Hospital- Proceedings of International Symposium on Scheduling 2017,pp.216-221 (Co-authored) 2017
Academic conference presentation
2023/08/22
Strategic behaviour of reserved customers in a queueing model with multiple reservation zones (10th International Congress on Industrial and Applied Mathematics (ICIAM 2023 TOKYO))