Researcher Information - SUGINOUCHI Shota |

（Last updated : 2024-08-22 15:27:51）

SUGINOUCHI Shota

Department / Course

青山学院大学理工学部経営システム工学科

Job 助教

専門分野及び関連分野
Manufacturing Systems, Collective Intelligence Mechanism keyword(Manufacturing System, Collective Intelligence Mechanism, Auction)

職歴
1.	2018/09/01 ～	Assistant Professor Aoyama Gakuin University College of Science and Engineering Department of Industrial and Systems Engineering

所属学会
1.	2018/12 ～	Japan Industrial Management Association

研究業績（著書・論文等）
1.	Books	Co-Creative Manufacturing methodology with IoT-Based Smart Factory for Mass Customization Reconstructions of the Public Sphere in the Social Mediated Age (Co-authored) 2017/10
2.	Papers	Equilibrium Search Technique Using Genetic Algorithm and Replicator Dynamics and its Application to Food Supply Chain Model Smart Innovation, Systems and Technologies 309,pp.363-374 (Co-authored) 2022/07
3.	Papers	Scheduling Auction based restaurant reservation method for achieving social distancing Procedia CIRP 112,pp.39-44 (Co-authored) 2022
4.	Papers	A two-stage mechanism for production planning and revenue allocation in a cloud-based manufacturing environment Procedia CIRP 99,pp.668-673 (Co-authored) 2021/03
5.	Papers	Simultaneous determination of theatrical casting and ticket distribution using Scheduling Auction International Journal of Automation Technology, International Journal of Automation Technology 14 (5),pp.757-768 (Co-authored) 2020/09
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研究業績（学会発表）
1.	2024/07/11	Meta-heuristic scheduling auction applying multi-objective genetic algorithm (CIRP ICME '24)
2.	2023/07/13	Meta-heuristic scheduling auction applying distributed genetic algorithm (CIRP ICME '23)
3.	2022/09/28	Simulation-Based Game Theoretical Analysis of Japanese Milk Supply Chain for Food Waste Reduction (APMS 2022)
4.	2022/07/05	Effect evaluation of relaxing shipping/selling deadline in the food supply chain: an evolutionary game theoretical approach (29th EurOMA Conference)
5.	2019/09/04	Scheduling Auction: A New Manufacturing Business Model for Balancing Customization and Quick Delivery (APMS 2019)
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