(Last updated : 2024-10-17 13:06:22)
  NAKATSUKA Akihiro
   Department   Aoyama Gakuin University  Department of International Management, Graduate School of International Management
   Aoyama Gakuin University  Department of International Management Science, Graduate School of International Management
   Position   Associate Professor
■ Specialization and related fields
Social systems engineering 
■ Academic background
1. Keio University Graduated
2. Keio University〔Master Course〕 Completed
3. Keio University〔Doctorial Course〕 Completed
■ Business career
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
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■ Belonging society
1. 2017/07~ Japan Industrial Management Association Link
2. 2021/07~ The Operations Research Society of Japan Link
3. 2022/11~ The Food System Research Association of Japan Link
4. 2024/10~ The Japanese Society for Quality Control Link
■ 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 : )
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■ Activity in society
1. 2024/03~2024/03 Practical Exercise (The 4th Industrial Revolution Manufacturing Management Business School)
2. 2024/02~2024/02 Aoyama Gakuin University Introductory Lecture
3. 2024/02 Research Project Lecture of the Japan Society for Management Engineering
4. 2023/06~2023/06 Japan Industrial Management Association Spring Conference in 2023
■ Committee and society
1. 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 Link
2. Article A Research on Visualization System for Agricultural Product Supply Chain Innovation and Supply Chain Management 17(3),pp.131-137 (Collaboration) 2023 Link
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 Link
4. Other Mastering The Supply Chain   (Collaboration) 2022 Link
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 Link
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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
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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)
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
3. 2018/10/14 A New Demand Forecasting Method and Efficiency Analysis (The 6th International Workshop on Production and Logistics)
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)