Faculty Information

1.	2010/04～2014/05	Fuji Xerox Co., Ltd.
2.	2014/06～2016/06	Fuji Xerox of Shanghai Limited Department of Supply Chain Management Planning and Special Mission
3.	2016/07～2020/03	Fuji Xerox Co., Ltd.
4.	2020/04～2023/03	Aoyama Gakuin University Graduate School of International Management Department of International Management Assistant Professor
5.	2023/04～	Aoyama Gakuin University Graduate School of International Management Department of International Management Science Associate Professor
6.	2023/04～	Aoyama Gakuin University Graduate School of International Management Department of International Management Associate Professor
7.	2023/05～	Aoyama Gakuin University Center for Sustainable Supply Chains
8.	2023/08～	Innovation and Supply Chain Management Editor・事務局
9.	2023/08～	Japan Material Flow Institute Academic Researcher
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■ Belonging society

1.	2017/07～	Japan Industrial Management Association
2.	2021/07～	The Operations Research Society of Japan
3.	2022/11～	The Food System Research Association of Japan
4.	2024/10～	The Japanese Society for Quality Control
5.	2025/02～	Japan Society for Educational Technology

■ Research topic, funded research, and department laboratory expense

1.	2023/04～2026/03	A Case Study on Grand Design of Production Management System for Food Loss Reduction (Key Word : )
2.	2023/04～2025/03	Verification of the effectiveness of teaching with a handwritten response panel system (Key Word : )
3.	2023/04～2024/03	Research on Building an Integrated System Between Decision Making and Production Management in SCM Operation process (Japan Industrial Management Association) (Key Word : )
4.	2022/07～2023/03	A Case Study on the Demand Forecasting Method Based on Multiple Comparison Procedure for Daily Delivery Products (Key Word : )
5.	2022/04～2023/03	A Case Study on the Demand Forecasting Method Based on Multiple Comparison Procedure for Daily Delivery Products (Key Word : )
6.	2022/03～2022/03	Research Project on Systematization of SCM Decision Making and Construction of Educational Program (Japan Industrial Management Association) (Key Word : )
7.	2021/04～2022/03	A Case Study on Demand Forecasting Method for Milk Beverages (Key Word : )
8.	2021/04～2022/03	A Study on the Selection between Push and Pull Production Systems When Delivery Date Is Postponed Due to Customer Request (Key Word : )
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■ Activity in society

1.	2025/03	Joint Lecture by Production and Logistics Division and Research Project, Japan Industrial Management Associationring
2.	2024/03～2024/03	Practical Exercise (The 4th Industrial Revolution Manufacturing Management Business School)
3.	2024/02～2024/02	Aoyama Gakuin University Introductory Lecture
4.	2024/02	Research Project Lecture of the Japan Society for Management Engineering
5.	2023/06～2023/06	Japan Industrial Management Association Spring Conference in 2023

■ Committee and society

2023/07/01～2025/06/30

Japan Industrial Management Association Research Committee Committee Member

■ Book and thesis

1.	Article	Demand Forecasting Method of Moving Average considering Variable Selection by Multiple Comparison Procedure : A Case Study on Daily Delivery Products Journal of Food System Research pp.103-117 (Collaboration) 2023
2.	Article	A Research on Visualization System for Agricultural Product Supply Chain Innovation and Supply Chain Management 17(3),pp.131-137 (Collaboration) 2023
3.	Article	A Study on the Selection between Push and Pull Production Systems When Delivery Date Is Postponed Due to Customer Request Journal of Japan Industrial Management Association pp.43-53 (Single) 2022
4.	Other	Mastering The Supply Chain (Collaboration) 2022
5.	Article	Research on Horizontal System Model for Food Factories: A Case Study of Process Cheese Manufacturer International Journal of Production Economics 226 (Collaboration) 2020
6.	Article	The SURUGA Gateway: An Advanced CPS Equipping Smart Factory Innovation and Supply Chain Management 13(2),pp.21-32 (Collaboration) 2019
7.	Article	A Study on the Forecasting Method Based on Extreme Value Distribution for Sudden and Large Demand Journal of Japan Industrial Management Association pp.153-161 (Collaboration) 2018
8.	Article	A Study on Demand Forecasting Using a Collective Intelligence Mechanism Journal of Japan Industrial Management Association pp.143-152 (Collaboration) 2018
9.	Article	A Case Study on Optimal Allocation of Call Center Staff - With Un-used Phones and Repeated Calls Situation Innovation and Supply Chain Management 7(1),pp.25-31 (Collaboration) 2013
10.	Article	An Analysis on Price Convergence of a Prediction Market Information 14(1),pp.103-114 (Collaboration) 2011
11.	Article	Cost Effect Analysis of the RFID System and Existing Problems Transactions of the Japan Society for Production Management pp.15-23 (Collaboration) 2010
12.	Article	Tacit Knowledge Aggregation for Demand Forecasting in Prediction Market Manufacturing Fundamentals: Necessity and Sufficiency pp.2717-2726 (Collaboration) 2008
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■ Lecturer and lecture

1.	2024/12/21	Gains and Losses calculation training based on the principle of comparison (3)
2.	2024/12/14	Gains and Losses calculation training based on the principle of comparison (2)
3.	2024/12/07	Gains and Losses calculation training based on the principle of comparison (1)
4.	2024/08/10	Principles for determining gain or loss
5.	2023/11/25	Quantify your senses and use them to make business decisions
6.	2023/08/26	Quantify your senses and use them to make business decisions
7.	2022/09/23	Use your senses for business! -Analytic Hierarchy Process- (Aoyama Gakuin University)
8.	2022/01	Foundation and Practice of Demand Forecasting (Department of Industrial and Systems Engineering, Faculty of Science and Technology, Keio University)
9.	2011/12/20	Business Practice of Supply Chain Management (School of Science for Open and Environmental Systems, Graduate School of Science and Technology, Keio University)
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■ Academic conference presentation

1.	2024/12/04	A Case Study on Demand Forecasting Method for Daily Products whose Demand Fluctuates on Different Days of the Week - A Method Developed with the Research Cooperation of a Processed Food Manufacturer and Its Introduction into Practice (Meet up in AGU2024@AOYAMA)
2.	2023/12/06	Demand Forecasting Method of Moving Average considering Variable Selection by Multiple Comparison Procedure for Food Loss Reduction: A Case Study on Daily Delivery Products (Meet up in AGU 2023@AOYAMA)
3.	2023/10/29	Case Study on the Implementation of Demand Forecasting Method Based on Multiple Comparison Procedure for Daily Delivery Products :Demand Forecasting Method of Moving Average considering Variable Selection by Multiple Comparison Procedure
4.	2018/10/14	A New Demand Forecasting Method and Efficiency Analysis (The 6th International Workshop on Production and Logistics)
5.	2008/08/05	Tacit Knowledge Aggregation for Demand Forecasting in Prediction Market (The 3rd World Conference on Production and Operations Management POM TOKYO 2008)