Researchers

SAKAGUCHI Tatsuhiko

SAKAGUCHI Tatsuhiko: Associate Professor

Faculty	Department of Informatics / Graduate School of System Engineering / Fundamental Technology for Next Generation Research Institute
Researchmap	https://researchmap.jp/sakaguchi_tatsuhiko

Education and Career

Education

1996/04 - 2000/03 , Osaka Prefecture University, Faculty of Engineering,
2000/04 - 2002/03 , Osaka Prefecture University, Graduate School of Engineering,
2002/04 - 2004/12 , Osaka Prefecture University, Graduate School of Engineering,

Academic & Professional Experience

Apr. 2020 - Today , Kindai University Faculty of Engineering, Department of Informatics Assistant Professor
Apr. 2020 - Mar. 2021 , Toyohashi University of Technology Graduate School of Engineering Department of Mechanical Engineering 客員准教授
Jan. 2017 - Mar. 2020 , 豊橋技術科学大学機械工学系准教授
Apr. 2010 - Dec. 2016 , 豊橋技術科学大学機械工学系助教
Apr. 2009 - Mar. 2010 , 豊橋技術科学大学生産システム工学系助教
Apr. 2007 - Mar. 2009 , Kobe University Organization of Advanced Science and Technology Assistant Professor
Jan. 2005 - Mar. 2007 , Kobe University Graduate School of Science and Technology 助手

Research Activities

Research Areas

Social infrastructure (civil Engineering, architecture, disaster prevention), Safety engineering
Social infrastructure (civil Engineering, architecture, disaster prevention), Social systems engineering
Informatics, Mechanics and mechatronics
Informatics, Robotics and intelligent systems
Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Manufacturing and production engineering

Research Interests

生産システム, Optimization, Scheduling, Production management, Industrial systems engineering, Manufacturing Execution System, Supply chain management, Production Scheduling

Published Papers

An adaptable robust optimization model for a dual-channel closed-loop supply chain considering cost and demand uncertainty
KAOUD Essam; A. M. ABDEL-AAL Mohammad; SAKAGUCHI Tatsuhiko; UCHIYAMA Naoki
Journal of Advanced Mechanical Design, Systems, and Manufacturing 16 (4) , JAMDSM0038-JAMDSM0038, Oct. 2022 , Refereed
Robust Optimization for a Bi-Objective Green Closed-Loop Supply Chain with Heterogeneous Transportation System and Presorting Consideration
Essam Kaoud; Mohammad A. M. Abdel-Aal; Tatsuhiko Sakaguchi; Naoki Uchiyama
Sustainability 14 (16) , 10281-10281, 18, Aug. 2022 , Refereed
Design and Optimization of the Dual-Channel Closed Loop Supply Chain with E-Commerce
Essam Kaoud; Mohammad A. M. Abdel-Aal; Tatsuhiko Sakaguchi; Naoki Uchiyama
Sustainability 12 (23) , 10117-10117, 3, Dec. 2020 , Refereed

今後の超高齢化社会に求められる生活支援(医療・福祉・介護・リハビリ)ロボット技術 , 寺嶋一彦 , 情報機構 , Oct. 2015
A Heuristic Approach for Integrated Nesting and Scheduling in Sheet Metal Processing , Tatsuhiko Sakaguchi; Hayato Ohtani; Yoshiaki Shimizu , 2015
GA based reactive scheduling for aggregate production scheduling , Tatsuhiko Sakaguchi; Toshihide Kamimura; Keiichi Shirase; Yoshitaka Tanimizu , 2008

A Study on Vehicle Routing Method Considering Loading and Unloading Time , 阪口龍彦; 中段裕貴; 中村百華 , 日本機械学会生産システム部門研究発表講演会2025 , Mar. 2025
A study on Placement of Open-Type Parcel Lockers Based on Geographic Information , Momoka Nakamura; Tatsuhiko Sakaguchi , スケジューリング・シンポジウム2024 , Sep. 2024
Local Search Method for Worker Assignment in Electrical Equipment Constructions , Tatsuhiko Sakaguchi; Utaya Nakayama , 日本機械学会2024年度年次大会 , Sep. 2024

A Graph-Theoretic Approach for Designing Cable Routes in Buildings , Tatsuhiko Sakaguchi; Takeru Kobayashi , Proc. of ASME 2024 International Symposium on Flexible Automation , ISFA2024-140810 , Jul. 2024
Robust optimization for a dual-channel closed-loop supply chain with cost and demand uncertainty , Essam Kaoud; Mohammad A. M. Abdel-Aal; Tatsuhiko Sakaguchi; Naoki Uchiyama , Proc. of International Symposium on Scheduling 2021 , 10 , 15 , Jun. 2021
A Hybrid Meta-Heuristic Approach Considering Workload Balancing for Vehicle Assignment and Routing Problem , Takuma Kawashima; Tatsuhiko Sakaguchi; Naoki Uchiyama , JSME 2020 Conference on Leading Edge Manufacturing/Materials and Processing , 3, Sep. 2020
Summary:Abstract In recent years, due to the globalization of the market and the expansion of e-commerce, logistics optimization attracts keen interest from manufacturing companies and service providers. The service area expands wider and the number of customers increases rapidly, thus logistics service providers need to determine the customer assignments and the routes for their trucks considering not only the efficiency of logistics but also the balance of workload for each truck. Therefore, in this study, we propose a customer assignment and vehicle routing algorithm based on the saving method and the simulated annealing. The algorithm first determines the customer assignment and initial route for each truck based on the saving method to balance the workload consisting of the number of customers, the demand of the customers, and distance. Then the initial route is improved by applying the simulated annealing. To evaluate the effectiveness of the proposed method, we conducted computational experiments. In experiments, we solved the waste collection vehicle routing problem in a Japanese city where the wastes generated from over 1000 customers are collected by 10 trucks starting from 1 depot. We evaluated the total cost consisting of the number of waste collecting points, the amount of waste, and the distance for this case study.

スケジューリング装置、スケジューリング方法、及びスケジューリングプログラム , 阪口龍彦, 寺嶋一彦, 内山直樹, 富貴原信, 薄木英二 , 特許第7235239号
スケジューリング装置、スケジューリング方法、及びスケジューリングプログラム , 阪口龍彦, 寺嶋一彦, 内山直樹, 富貴原信, 薄木英二