■ Specialization and related fields
Social systems engineering
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■ Academic background
1.
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Keio University Graduated
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2.
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Keio University〔Master Course〕 Completed
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3.
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Keio University〔Doctorial Course〕 Completed
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■ Business career
1.
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2010/04~2014/05
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Fuji Xerox Co., Ltd.
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2.
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2014/06~2016/06
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Fuji Xerox of Shanghai Limited Department of Supply Chain Management Planning and Special Mission
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3.
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2016/07~2020/03
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Fuji Xerox Co., Ltd.
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4.
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2020/04~2023/03
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Aoyama Gakuin University Graduate School of International Management Department of International Management Assistant Professor
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5.
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2023/04~
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Aoyama Gakuin University Graduate School of International Management Department of International Management Science Associate Professor
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6.
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2023/04~
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Aoyama Gakuin University Graduate School of International Management Department of International Management Associate Professor
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7.
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2023/05~
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Aoyama Gakuin University Center for Sustainable Supply Chains
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8.
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2023/08~
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Innovation and Supply Chain Management Editor・事務局
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9.
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2023/08~
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Japan Material Flow Institute Academic Researcher
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■ Belonging society
1.
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2017/07~
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Japan Industrial Management Association
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2.
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2021/07~
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The Operations Research Society of Japan
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3.
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2022/11~
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The Food System Research Association of Japan
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4.
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2024/10~
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The Japanese Society for Quality Control
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■ Research topic, funded research, and department laboratory expense
1. |
2023/04~2026/03
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A Case Study on Grand Design of Production Management System for Food Loss Reduction (Key Word : )
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2. |
2023/04~2025/03
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Verification of the effectiveness of teaching with a handwritten response panel system (Key Word : )
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3. |
2023/04~2024/03
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Research on Building an Integrated System Between Decision Making and Production Management in SCM Operation process (Japan Industrial Management Association) (Key Word : )
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4. |
2022/07~2023/03
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A Case Study on the Demand Forecasting Method Based on Multiple Comparison Procedure for Daily Delivery Products (Key Word : )
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5. |
2022/04~2023/03
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A Case Study on the Demand Forecasting Method Based on Multiple Comparison Procedure for Daily Delivery Products (Key Word : )
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6. |
2022/03~2022/03
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Research Project on Systematization of SCM Decision Making and Construction of Educational Program (Japan Industrial Management Association) (Key Word : )
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7. |
2021/04~2022/03
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A Case Study on Demand Forecasting Method for Milk Beverages (Key Word : )
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8. |
2021/04~2022/03
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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.
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2024/03~2024/03
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Practical Exercise (The 4th Industrial Revolution Manufacturing Management Business School)
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2.
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2024/02~2024/02
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Aoyama Gakuin University Introductory Lecture
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3.
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2024/02
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Research Project Lecture of the Japan Society for Management Engineering
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4.
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2023/06~2023/06
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Japan Industrial Management Association Spring Conference in 2023
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■ Committee and society
1. |
2023/07/01~2025/06/30 |
Japan Industrial Management Association Research Committee Committee Member
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■ Book and thesis
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■ Lecturer and lecture
1. |
2024/12/21 |
Gains and Losses calculation training based on the principle of comparison (3)
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2. |
2024/12/14 |
Gains and Losses calculation training based on the principle of comparison (2)
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3. |
2024/12/07 |
Gains and Losses calculation training based on the principle of comparison (1)
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4. |
2024/08/10 |
Principles for determining gain or loss
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5. |
2023/11/25 |
Quantify your senses and use them to make business decisions
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6. |
2023/08/26 |
Quantify your senses and use them to make business decisions
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7. |
2022/09/23 |
Use your senses for business! -Analytic Hierarchy Process- (Aoyama Gakuin University)
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8. |
2022/01 |
Foundation and Practice of Demand Forecasting (Department of Industrial and Systems Engineering, Faculty of Science and Technology, Keio University)
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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. |
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)
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2. |
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
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3. |
2018/10/14 |
A New Demand Forecasting Method and Efficiency Analysis (The 6th International Workshop on Production and Logistics)
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4. |
2008/08/05 |
Tacit Knowledge Aggregation for Demand Forecasting in Prediction Market (The 3rd World Conference on Production and Operations Management POM TOKYO 2008)
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