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J-GLOBAL ID:201701017351118025   Update date: Oct. 31, 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 (326):
  • Shinya Korekane, Tatsushi Nishi, Kevin Tierney, Ziang Liu. Neural network assisted branch and bound algorithm for dynamic berth allocation problems. European Journal of Operational Research. 2024. 319. 2. 531-542
  • Tomoya Kawabe, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara. Task Planning for Robot Manipulator Using Natural Language Task Input with Large Language Models. 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). 2024. 3484-3489
  • 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
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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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