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SUGOU Ryu
Faculty of Science and Engineering Department of Industrial and Systems Engineering
Associate Professor
Researchmap URL
https://researchmap.jp/liu.ziang
Researcher information
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■ Field Of Study
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Research activity information
■ Award
- Sep. 2024
IEOM Society International, Distinguished Young IEOM Researcher Award
Ziang Liu - Dec. 2019
IEEE International Conference on Industrial Engineering and Engineering Management, Best Paper Award
Macao, International society
Ziang Liu, Tatsushi Nishi
- Surrogate-assisted motion planning and layout design of robotic cellular manufacturing systems
Tomoya Kawabe; Tatsushi Nishi; Ziang Liu; Tomofumi Fujiwara
Engineering Applications of Artificial Intelligence, Jun. 2025, [Reviewed] - Deep Reinforcement Learning for Dynamic Pricing and Ordering Policies in Perishable Inventory Management
Yusuke Nomura; Ziang Liu; Tatsushi Nishi
Applied Sciences, 24 Feb. 2025, [Reviewed]
Corresponding - Surrogate-Assisted Multi-Objective Optimization for Simultaneous Three-Dimensional Packing and Motion Planning Problems Using the Sequence-Triple Representation
Ziang Liu; Tomoya Kawabe; Tatsushi Nishi; Shun Ito; Tomofumi Fujiwara
Applied Artificial Intelligence, 31 Dec. 2024, [Reviewed] - A Transfer Learning for Estimation of Operation Time for 6-axis Robot Arms
Hyo Matsuda; Tatsushi Nishi; Ziang Liu; Tomofumi Fujiwara
2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 15 Dec. 2024, [Reviewed] - Simultaneous Optimization of Placement Planning and Motion Planning for a Single Robotic Arm Using Genetic Algorithm
T. Taniguchi; T. Nishi; Z. Liu; T. Fujiwara
2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 15 Dec. 2024, [Reviewed] - Neural network assisted branch and bound algorithm for dynamic berth allocation problems
Shinya Korekane; Tatsushi Nishi; Kevin Tierney; Ziang Liu
European Journal of Operational Research, Dec. 2024, [Reviewed] - 粒子群最適化による産業用スカラ型ロボットの省エネルギー動作計画の検討
藤原 始史; 西 竜志; 劉 子昂
システム制御情報学会論文誌, Nov. 2024, [Reviewed] - Task Planning for Robot Manipulator Using Natural Language Task Input with Large Language Models
Tomoya Kawabe; Tatsushi Nishi; Ziang Liu; Tomofumi Fujiwara
2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), 28 Aug. 2024, [Reviewed] - A Route Planning Method for Multiple Mobile Robots by Combining Deep Q-Network and Graph Search
福島昂之介; 西竜志; LIU Ziang; 藤原始史
Transactions of the Institute of Systems, Control and Information Engineers, Aug. 2024, [Reviewed] - Designing a Mobile Manipulator and Motion Planning for Autonomous Navigation With A* and Q-Learning Algorithms
Md. Kaimujjaman; Tatsushi Nishi; Tomofumi Fujiwara; Ziang Liu
2024 International Symposium on Flexible Automation, 21 Jul. 2024, [Reviewed] - Surrogate-Assisted Evolutionary Computation for Distributed Simulation-Based Inventory Optimization in Serial Supply Chains
Ziang Liu; Tatsushi Nishi
2024 IEEE Congress on Evolutionary Computation (CEC), 30 Jun. 2024, [Reviewed] - Three-Dimensional Bin Packing Problems with the Operating Time of a Robot Manipulator
Naoya Mikyu; Tatsushi Nishi; Ziang Liu; Tomofumi Fujiwara
IFIP Advances in Information and Communication Technology, 2024, [Reviewed] - Data-Driven Scheduling of Cellular Manufacturing Systems Using Process Mining with Petri Nets
Hidefumi Kurakado; Tatsushi Nishi; Ziang Liu
IFIP Advances in Information and Communication Technology, 2024, [Reviewed] - Distributed optimization algorithm for multi-agent optimization problems using consensus control
Tatsushi NISHI; Naoto DEBUCHI; Ziang LIU
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2024, [Reviewed] - Resource constrained project scheduling formulation for optimization of product input sequence and workforce scheduling for multi-stage multi-product cellular production lines
Tatsushi NISHI; Hidefumi KURAKADO; Ziang LIU
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2024, [Reviewed] - Deep Reinforcement Learning for Perishable Inventory Optimization Problem
Yusuke Nomura; Ziang Liu; Tatsushi Nishi
2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 18 Dec. 2023, [Reviewed]
Corresponding - Motion Planning of Industrial Robot by Data-Driven Optimization Using Petri Nets
Masaya Shiraga; Tatsushi Nishi; Ziang Liu; Tomofumi Fujiwara
2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 18 Dec. 2023, [Reviewed] - Multi-Objective Optimization for Three-Dimensional Packing Problem Using the Sequence-Triple Representation with Robot Motion Planning
Ziang Liu; Shun Ito; Tomoya Kawabe; Tatsushi Nishi; Tomofumi Fujiwara
2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 18 Dec. 2023, [Reviewed]
Lead, Last - Evolutionary-Game-Theory-Based Epidemiological Model for Prediction of Infections with Application to Demand Forecasting in Pharmaceutical Inventory Management Problems
Yu Nishihata; Ziang Liu; Tatsushi Nishi
Applied Sciences, 14 Oct. 2023, [Reviewed] - Robust Optimization for Bilevel Production Planning Problems under Customer's Uncertainties
Jun Nakao; Tatsushi Nishi; Ziang Liu
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 01 Oct. 2023, [Reviewed] - Surrogate-Assisted Evolutionary Optimization for Perishable Inventory Management in Multi-Echelon Distribution Systems
Ziang Liu; Tatsushi Nishi
Expert Systems with Applications, Oct. 2023, [Reviewed]
Lead - A Novel Sampling-Based Optimal Motion Planning Algorithm for Energy-Efficient Robotic Pick and Place
Md Moktadir Alam; Tatsushi Nishi; Ziang Liu; Tomofumi Fujiwara
Energies, 30 Sep. 2023, [Reviewed] - Inventory Control with Lateral Transshipment Using Proximal Policy Optimization
Ziang Liu; Tatsushi Nishi
2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS), 22 Sep. 2023, [Reviewed]
Lead - Collision-Free Motion Planning for Multiple Robot Arms by Combining Deep Q-Network and Graph Search Algorithm
Kengo Hara; Tatsushi Nishi; Ziang Liu; Tomofumi Fujiwara
2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 26 Aug. 2023, [Reviewed] - Data-driven evolutionary computation for service constrained inventory optimization in multi-echelon supply chains
Ziang Liu; Tatsushi Nishi
Complex & Intelligent Systems, 09 Aug. 2023, [Reviewed]
Corresponding - Simulation-Based Optimization Using Virtual Supply Chain Structured by the Configuration Platform
Ziang Liu; Reimon Shirakashi; Ryuichi Kamiebisu; Tatsushi Nishi; Michiko Matsuda
IFAC-PapersOnLine, 2023, [Reviewed]
Lead - Symbolic Sequence Optimization Approach for Task and Motion Planning of Robot Manipulators.
Tomoya Kawabe; Tatsushi Nishi; Ziang Liu 0004; Tomofumi Fujiwara
CASE, 2023, [Reviewed] - A Combined Deep Q-Network and Graph Search for Three Dimensional Route Planning Problems for Multiple Mobile Robots
Konosuke Fukushima; Tatsushi Nishi; Ziang Liu
IEEE International Conference on Automation Science and Engineering, 2023, [Reviewed] - Flexible Route Planning for Multiple Mobile Robots by Combining Q–Learning and Graph Search Algorithm
Tomoya Kawabe; Tatsushi Nishi; Ziang Liu
Applied Sciences, Jan. 2023, [Reviewed] - Automatic Generation of Optimization Model using Process Mining and Petri Nets for Optimal Motion Planning of 6-DOF Manipulators
Takuma Bando; Tatsushi Nishi; Md Moktadir Alam; Ziang Liu; Tomofumi Fujiwara
Proceedings of 2022 IEEE International Conference on Intelligent Robots and Systems, Dec. 2022, [Reviewed] - Optimal Motion Planning and Layout Design in Robotic Cellular Manufacturing Systems
Tomoya Kawabe; Ziang Liu; Tatsushi Nishi; Md Moktadir Alam; Tomofumi Fujiwara
Proceedings of 2022 IEEE International Conference on Industrial Engineering and Engineering Management, Dec. 2022, [Reviewed]
Corresponding - Epidemiological Model of COVID-19 based on Evolutionary Game Theory: Considering the Viral Mutations
Yu Nishihata; Ziang Liu; Tatsushi Nishi
Proceedings of 2022 IEEE International Conference on Industrial Engineering and Engineering Management, Dec. 2022, [Reviewed]
Corresponding - Decision Support System for Selecting Robot Systems for Pick-and-place Operation of Robot Manipulator
Yushi Oyama; Tatsushi Nishi; Ziang Liu; Md; Moktadir Alam; Tomofumi Fujiwara
Proceedings of 2022 IEEE International Conference on Industrial Engineering and Engineering Management, Dec. 2022, [Reviewed] - Machine Learning and Inverse Optimization for Estimation of Weighting Factors in Multi-Objective Production Scheduling Problems
Hidetoshi Togo; Kohei Asanuma; Tatsushi Nishi; Ziang Liu
Applied Sciences, Sep. 2022, [Reviewed] - Energy-Efficient Robot Configuration and Motion Planning Using Genetic Algorithm and Particle Swarm Optimization
Kazuki Nonoyama; Ziang Liu; Tomofumi Fujiwara; Md Moktadir Alam; Tatsushi Nishi
Energies, 11 Mar. 2022, [Reviewed] - Adaptive heterogeneous particle swarm optimization with comprehensive learning strategy
Ziang LIU; Tatsushi NISHI
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2022, [Reviewed]
Lead - Distributed Optimization for Supply Chain Planning for Multiple Companies Using Subgradient Method and Consensus Control
Naoto Debuchi; Tatsushi Nishi; Ziang Liu
IFIP Advances in Information and Communication Technology, 2022, [Reviewed] - Use cases of the platform for structuring a smart supply chain in discrete manufacturing
Ryuichi Kamiebisu; Taiki Saso; Jun Nakao; Ziang Liu; Tatsushi Nishi; Michiko Matsuda
Procedia CIRP, 2022, [Reviewed] - Strategy Dynamics Particle Swarm Optimizer
Ziang Liu; Tatsushi Nishi
Information Sciences, Oct. 2021, [Reviewed]
Lead - Use of virtual supply chain constructed by cyber-physical systems concept
Michiko Matsuda; Tatsushi Nishi; Ryuichi Kamiebisu; Mao Hasegawa; Roghayyeh Alizadeh; Ziang Liu
Procedia CIRP, 2021, [Reviewed] - Multipopulation Ensemble Particle Swarm Optimizer for Engineering Design Problems
Ziang Liu; Tatsushi Nishi
MATHEMATICAL PROBLEMS IN ENGINEERING, Nov. 2020, [Reviewed]
Lead - Automatic Construction of Virtual Supply Chain as Multi-Agent System Using Enterprise E-Catalogues
Tatsushi Nishi; Michiko Matsuda; Mao Hasegawa; Roghayyeh Alizadeh; Ziang Liu; Takuto Terunuma
INTERNATIONAL JOURNAL OF AUTOMATION TECHNOLOGY, Sep. 2020, [Reviewed] - Analyzing just-in-time purchasing strategy in supply chains using an evolutionary game approach
Ziang Liu; Tatsushi Nishi
JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2020, [Reviewed]
Lead - Government Regulations on Closed-Loop Supply Chain with Evolutionarily Stable Strategy
Ziang Liu; Tatsushi Nishi
SUSTAINABILITY, Sep. 2019, [Reviewed]
Lead - An Evolutionary Game Model in Closed-Loop Supply Chain
Ziang Liu; Tatsushi Nishi
2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2019, [Reviewed]
Lead
- Deep Q-Network を用いた複数台移動ロボットのタスク割当と経路計画法
福島 昂之介; 西 竜志; 劉 子昂
第67回自動制御連合講演会, Nov. 2024 - Large language model for instance generation and explanation of inventory control problems
Ziang Liu; Tatsushi Nishi
第32回インテリジェント・システム・シンポジウム, Sep. 2024 - Three-Dimensional Bin Packing Problems with the Operating Time of a Robot Manipulator
Naoya Mikyu; Tatsushi Nishi; Ziang Liu; Tomofumi Fujiwara
IFIP Advances in Information and Communication Technology, May 2024 - Estimation of Total Motion Time for Heterogeneous Robots using Transfer Learning
Matsuda Hyo; Liu Ziang; Fujiwara Tomohumi; Nishi Tatsushi
Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, May 2024 - 大規模言語モデルを用いた自然言語タスク入力によるロボットマニピュレータの作業手順最適化
川部 知也; 西 竜志; 劉 子昂; 藤原 始史
生産システム部門研究発表講演会2024, Mar. 2024 - 医薬品在庫管理問題における感染症数理モデルの利用
西畑 優; 劉 子昂; 西 竜志
生産システム部門研究発表講演会2024, Mar. 2024 - ロボットアームによる商品取出手順最適化問題のモデル化と分解法
原 健悟; 西 竜志; 劉 子昂; 藤; 原 始史
生産システム部門研究発表講演会2024, Mar. 2024 - 複数ピック中継姿勢を考慮した産業用ロボットのピック動作計画法
白神 雅也; 西 竜志; 劉 子昂; 藤原 始史
生産システム部門研究発表講演会2024, Mar. 2024 - ロボットアームによるピックプレース動作のためのロボットシステムの機器選定と配置計画の同時最適化
大山 裕士; 西 竜志; 劉 子昂; 藤原 始史
生産システム部門研究発表講演会2024, Mar. 2024 - Deep Q-Network とグラフ探索を統合した部分観測による複数台移動ロボットの経路計画
福島 昂之介; 西 竜志; 劉 子昂; 藤原 始史
生産システム部門研究発表講演会2024, Mar. 2024 - 合意制御を用いた発電機起動停止計画問題の分散最適化
出渕 直人, 西 竜志, 劉 子昂
生産システム部門研究発表講演会2024, Mar. 2024 - 資源制約付プロジェクトスケジューリング問題の定式化によるセル生産システムの最適化
倉門 秀吏; 西 竜志; 劉 子昂
生産システム部門研究発表講演会2024, Mar. 2024 - Motion Planning of Stacking Shelves Operation for Mobile Manipulator
齊藤悠人; 藤原始史; LIU Ziang; 西竜志
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 2024 - Optimization of task allocation and route planning for multiple mobile robots
Hosoda Makiko; Nishi Tatsushi; Liu Ziang; Fujiwara Tomofumi
Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, 2024 - Simultaneous Optimization of Placement Planning and Motion Planning for 6DOF Robotic Arm using Genetic Algorithm
Taniguchi Takato; Nishi Tatsushi; Liu Ziang; Fujiwara Tomofumi
Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, 2024 - Optimal Motion Planning of Stacking Shelves Operations for Integrated Humanoid Robot and Mobile Robot
Saito Yuto; Fujiwara Tomofumi; Liu Ziang; Nishi Tatsushi
Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, 2024 - Reinforcement learning for the dynamic berth allocation problem with arrival time uncertainty
Fukui Kento; Nishi Tatsushi; Liu Ziang
Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, 2024 - Supply chain optimization by differential evolution algorithm using simulation model configuration platform
Goto Atsuki; Nishi Tatsushi; Liu Ziang
Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, 2024 - 感染症モデルを用いた需要予測による医薬品在庫管理問題
西畑 優; 劉 子昂; 西 竜志
スケジューリング・シンポジウム2023, Sep. 2023 - Report of Cyber Physical Flexible Automation (CyFA) committee in 2022
Nishi Tatsushi; Liu Ziang
SYSTEMS, CONTROL AND INFORMATION, 15 Jul. 2023 - Deep Q-Networkとグラフ探索を組み合わせた複数台移動ロボットの経路計画法—A Route Planning Method for Mobile Robots by an Integrated Deep Q-Network and Graph Search
福島 昂之介; 西 竜志; 劉 子昂; Md Moktadir Alam; 藤原 始史
システム制御情報学会研究発表講演会講演論文集, May 2023 - ペトリネットを用いたデータ駆動最適化による産業用ロボットの動作計画法—Motion Planning for Industrial Robots via Data-Driven Optimization Using Petri Nets
白神 雅也; 西 竜志; 劉 子昂; Alam Md Moktadir; 藤原 始史
システム制御情報学会研究発表講演会講演論文集, May 2023 - Sequence-Tripleを用いた3次元配置計画とロボット動作計画の多目的最適化—Multi-Objective Optimization of Robot Motion Planning and 3D Placement Planning Using Sequence-Triple
伊藤 駿; 西 竜志; 劉 子昂; Alam Md Moktadir; 藤原 始史
システム制御情報学会研究発表講演会講演論文集, May 2023 - PSOによる産業用ロボットの省エネルギー動作計画最適化の実験的検証—Experimental Verification of Energy-Efficient Motion Planning for Industrial Robots by Particle Swarm Optimization
藤原 始史; 西 竜志; 劉 子昂; Alam Md Moktadir
システム制御情報学会研究発表講演会講演論文集, May 2023 - 深層強化学習を用いた腐敗性を有する在庫問題の最適化—Deep Reinforcement Learning for Optimization of Perishable Inventory Problem
野村 勇介; 劉 子昂; 西 竜志
システム制御情報学会研究発表講演会講演論文集, May 2023 - サプライチェーン構成プラットフォームを用いたシミュレーションによるデータ駆動多目的最適化—Data-Driven Multi-Objective Simulation-based Optimization Using Supply Chain Configuration Platform
白樫 怜門; 西 竜志; 劉 子昂
システム制御情報学会研究発表講演会講演論文集, May 2023 - FEM Analysis of Shear Deformation Considering Creep Using a Three-Dimensional Frame Model
劉思芸; RI Beizun; KEI Shoko; 楊子昂; 渡部嗣道
日本建築学会大会学術講演梗概集・建築デザイン発表梗概集(CD-ROM), 2023 - Motion Planning for Multiple Robot Arms by Deep Q-Network and Graph Search Algorithm
原健悟; 西竜志; LIU Ziang; MOKTADIR Alam Md; 藤原始史
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 2023 - A Study on Optimization Model for Product Input Sequence and Workforce Scheduling for Multi-Stage, Multi-Item Cell Production Lines
Kurakado Hidefumi; Nishi Tatsushi; Liu Ziang
The Proceedings of Manufacturing Systems Division Conference, 2023 - Motion Generation Method using Waypoints for Stacking Shelves via Robot Arm
Nonoyama Kazuki; Nishi Tatsushi; Alam Md Moktadir; Liu Ziang; Fujiwara Tomofumi
The Proceedings of Manufacturing Systems Division Conference, 2023 - A Study on Representation of Solutions in the Branch-and-Bound Method Using Machine Learning for the Dynamic Berth Allocation Problem
是兼慎也; 西竜志; LIU Ziang
スケジューリング・シンポジウム講演論文集, Sep. 2022 - ロボットセル生産システムにおけるマニピュレータの動作計画とレイアウト配置計画の同時最適化
川部知也; 劉子昂; 西竜志; MOKTADIR Alam Md; 藤原始史
日本ロボット学会学術講演会予稿集(CD-ROM), Sep. 2022 - Report of Cyber Physical Flexible Automation (CyFA) committee in 2021
Nishi Tatsushi; Liu Ziang
SYSTEMS, CONTROL AND INFORMATION, 15 Jul. 2022 - Data-Driven Multi-Objective Evolutionary Optimization for Inventory Management in Complex and Large-Scale Supply Chains
Kohei Ouchi; Ziang Liu; Tatsushi Nishi
International Symposium on Flexible Automation 2022, Jul. 2022
Corresponding - A Flexible Motion Planning for Multiple Mobile Robots by Combining Q-Learning and Graph Search Algorithm
川部知也; 西竜志; LIU Ziang; ALAM Md Moktadir; 藤原始史
システム制御情報学会研究発表講演会講演論文集(CD-ROM), May 2022 - Decision support system for selecting workpiece for pick-and-place Operations of robot manipulator
大山裕士; LIU Ziang; ALAM Moktadir; 藤原始史; 西竜志
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 2022 - Distributed optimization for supply chain planning for multiple companies using subgradient method and consensus control
出渕直人; LIU Ziang; 西竜志
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 2022 - Data-Driven Multi-Objective Optimization for Inventory Management in Supply Chain
大内航平; LIU Ziang; 西竜志
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 2022 - Epidemiological Model of COVID-19 based on Evolutionary Game Theory
西畑優; LIU Ziang; 西竜志
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 2022 - An Optimization System for Motion Planning of 6DOF Robot Manipulator via Automatic Generation of Petri Nets using Process Mining
板東巧真; 西竜志; LIU Ziang; ALAM Md Moktadir; 藤原始史
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 2022 - Adaptive comprehensive learning particle swarm optimization with a parameter control method
Ziang Liu; Tatsushi Nishi
Proceedings of International Symposium on Scheduling 2021, Jun. 2021
Lead - Multi-population Ensemble Particle Swarm Optimizer with Selection Mechanism and Mutation Mechanism
Liu Ziang; Nishi Tatsushi
システム制御情報学会研究発表講演会講演論文集, 26 May 2021 - Particle Swarm Optimization Algorithm with Multiple Strategies for Continuous Optimization Problems
Ziang Liu; Tatsushi Nishi
Scheduling Symposium 2020, Sep. 2020 - 生産者と販売者の価格決定とチャンネル構造を考慮した循環型サプライチェーンにおける政府規制の影響
劉子昂; 西竜志
スケジューリング・シンポジウム2019, Oct. 2019 - Analysis of evolutionary stability of just-in-time purchasing
Ziang Liu; Tatsushi Nishi
Proceedings of International Symposium on Scheduling 2019, Jul. 2019
Lead
- Integrating Machine Learning and Optimization for Decision Making in Supply Chain Management
Ziang Liu
5th Asia Pacific Conference on Industrial Engineering and Operations Management, 12 Sep. 2024, [Invited] - 機械学習と最適化による在庫管理
劉子昂
MOAI研究部会, 26 Jan. 2024, [Invited]
- Relational Database
Apr. 2025 - Present
Hosei University - Exercise on Computer and Information Technology A
Apr. 2025 - Present
Hosei University - Oct. 2024 - Mar. 2025
岡山大学 - Jun. 2024 - Mar. 2025
岡山大学 - Oct. 2021 - Mar. 2025
岡山大学 - Apr. 2021 - Mar. 2025
岡山大学 - Apr. 2021 - Mar. 2025
岡山大学
- Mar. 2024 - Present
米国電気電子学会（IEEE） - Apr. 2021 - Present
サイバーフィジカル・フレキシブル・オートメーション（CyFA）研究分科会 - Apr. 2021 - Present
システム制御情報学会 - May 2020 - Present
日本機械学会
- Development of Data Driven Optimization Basis for Dynamic Simulation Platform of Supply Chains
Grant-in-Aid for Scientific Research (B)
Okayama University
01 Apr. 2022 - 31 Mar. 2026 - 在庫数最適化アルゴリズムの構築と基幹システム実装に向けた研究
Apr. 2023 - Mar. 2024 - サプライチェーンにおけるデータ駆動型進化計算手法の開発
Apr. 2022 - Mar. 2023
- サイバーフィジカル・フレキシブル・オートメーション研究分科会
organizing_member
Apr. 2021 - Mar. 2026 - 第 68 回 システム制御情報学会 研究発表講演会
presenter
大阪工業大学梅田キャンパス, 24 May 2024 - 26 May 2024 - MSD2024 生産システム部門（MSD部門）講演会
岡山大学, 04 Mar. 2024 - 05 Mar. 2024 - 第 67 回 システム制御情報学会 研究発表講演会 実行委員会
京都テルサ, May 2023
