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J-GLOBAL ID:201701017351118025   Update date: Oct. 01, 2024

Nishi Tatsushi

ニシ タツシ | Nishi Tatsushi
Affiliation and department:
Job title: Professor
Research field  (1): Control and systems engineering
Research theme for competitive and other funds  (14):
  • 2022 - 2026 Development of Data Driven Optimization Basis for Dynamic Simulation Platform of Supply Chains
  • 2018 - 2022 Development of Fundamental Models for Enterprise Collaborations in Smart Supply Chains
  • 2017 - 2021 Automatic Generation of Discrete Optimization Model Using Input and Output Data Based on Discrete Event Systems Theory
  • 2020 - 2021 Integrated Machine Learning and Optimization for Decision Making Aid in Supply Chain and Logistics
  • 2015 - 2019 Game Theoretical Approach for Development of Optimization Methods for Dynamic Reconfigurable Supply Chains
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Papers (313):
  • Md. Kaimujjaman, Tatsushi Nishi, Tomofumi Fujiwara, Ziang Liu. Designing a Mobile Manipulator and Motion Planning for Autonomous Navigation With A* and Q-Learning Algorithms. 2024 International Symposium on Flexible Automation. 2024
  • Ziang Liu, Tatsushi Nishi. Surrogate-Assisted Evolutionary Computation for Distributed Simulation-Based Inventory Optimization in Serial Supply Chains. 2024 IEEE Congress on Evolutionary Computation (CEC). 2024. 104. 1-7
  • Ziang Liu, Tatsushi Nishi. Surrogate-assisted evolutionary optimization for perishable inventory management in multi-echelon distribution systems. Expert Systems with Applications. 2024. 238
  • Ziang Liu, Shun Ito, Tomoya Kawabe, Tatsushi Nishi, Tomofumi Fujiwara. Multi-objective Optimization for Three-dimensional Packing Problem Using the Sequence-triple Representation with Robot Motion Planning. Proceedings of IEEE International Conference on Industrial Engineering and Engineering Management 2023. 2023
  • Masaya Shiraga, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara. Motion Planning of Industrial Robot by Data-driven Optimization Using Petri Nets. Proceedings of IEEE International Conference on Industrial Engineering and Engineering Management 2023. 2023
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MISC (54):
  • 福島 昂之介, 西 竜志, 劉 子昂, 藤原 始史. 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 Multiple Mobile Robots by Combining Deep Q-Network and Graph Search-SCI'23論文 特集号(5). システム制御情報学会論文誌 = Transactions of the Institute of Systems, Control and Information Engineers. 2024. 37. 8. 207-215
  • 三久 尚哉, 西 竜志, 劉 子昂, 藤原 始史. ロボットの動作時間を考慮した3Dビンパッキング問題の遺伝的アルゴリズムによる解法-Genetic Algorithm for Three-Dimensional Bin Packing Problems with the Operating Time of a Robot Manipulator. システム制御情報学会研究発表講演会講演論文集. 2024. 68. 384-387
  • 松田 彪, 西 竜志, 劉 子昂, 藤原 始史. 転移学習を用いた異種ロボット間における動作時間推定-Estimation of Total Motion Time for Heterogeneous Robots using Transfer Learning. システム制御情報学会研究発表講演会講演論文集. 2024. 68. 388-391
  • 福島 昂之介, 西 竜志, 劉 子昂, Md Moktadir Alam, 藤原 始史. 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. システム制御情報学会研究発表講演会講演論文集. 2023. 67. 132-137
  • 白神 雅也, 西 竜志, 劉 子昂, Alam Md Moktadir, 藤原 始史. 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. システム制御情報学会研究発表講演会講演論文集. 2023. 67. 20-22
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Patents (17):
Books (3):
  • Innovative systems approach for facilitating Smarter World
    Springer 2023 ISBN:9789811977756
  • 2018日本機械学会年鑑
    日本機械学会 2018
  • 企業間の戦略的提携 : マルチエージェント交渉による次世代SCM
    朝倉書店 2011 ISBN:9784254275445
Lectures and oral presentations  (206):
  • 逆強化学習によるAGVのデッドロック回避経路計画問題に対する報酬設計
    (生産システム部門研究発表講演会2021 2021)
  • Estimation of Weights for Multi-Objective Production Scheduling Problems -An Inverse Optimization Approach-
    (IEEE International Conference on Industrial Engineering and Engineering Management 2020)
  • Particle Swarm Optimization Algorithm with Multiple Strategies for Continuous Optimization Problems
    (Scheduling Symposium 2020)
  • Hybrid Covering Location Problem: Set Covering and Modular Maximal Covering Location Problem
    (Scheduling Symposium 2020)
  • 動的搬送における複数AGVシステムのJIT性とスループットのトレードオフ分析
    (スケジューリングシンポジウム2020)
more...
Education (1):
  • Kyoto University Graduate School of Engineering
Professional career (1):
  • Doctor of Philosophy in Engineering (Kyoto University)
Work history (4):
  • 2006/03 - 2020/03 Osaka University Graduate School of Engineering Science Department of Systems Innovation Division of Mathematical Science for Social Systems Associate Professor
  • 2014/03 - 2017/03 Beijing University of Chemical Technology
  • 2015/07 - 2015/09 University of Hamburg Guest Researcher
  • 2001/04 - 2006/03 Okayama University The Graduate School of Natural Science and Technology Assistant Professor
Committee career (27):
  • 2022/12 - 現在 IEEE Transactions on Automation Science and Engineering Editor
  • 2022/12 - 現在 Frontiers Associate Editor in Industrial Robots
  • 2022/09 - 現在 スケジューリング学会 理事
  • 2022/09 - 現在 MDPI Editorial Board Member of Games
  • 2022/09 - 現在 システム制御情報学会 システム制御情報学会研究発表講演会(SCI'23)実行委員
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Awards (17):
  • 2019/12 - 2019 IEEE International Conference on Industrial Engineering and Engineering Management Best Paper Award
  • 2019/04 - 日本機械学会生産システム部門 優秀講演論文賞 二つの生産者と販売者を有するサプライチェーンにおける主従関係構造の影響
  • 2016/08 - 2016 International Symposium on Flexible Automation Best Paper Award (Theory)
  • 2015/12 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management Outstanding Paper Award A Solution Procedure based on Lagrangian Relaxation for Supply Chain Planning Problem with CSR Investment
  • 2014/12 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management Outstanding Paper Award Analysis of Quantity Discounts for Multi-Period Production Planning for Single Supplier and Retailer Under Demand Uncertainty
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Association Membership(s) (7):
日本機械学会 ,  スケジューリング学会 ,  計測自動制御学会 ,  システム制御情報学会 ,  日本オペレーションズリサーチ学会 ,  INFORMS ,  IEEE
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