KEISUKE NAGASAWA

Last Updated :2023/01/05

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Assistant Professor
Web Site
http://www.pse.hiroshima-u.ac.jp/
E-mail
nagasa-keihiroshima-u.ac.jp
Other Contact Details
1-4-1, Kagamiyama, Higashi-Hiroshima 739-8527, Japan
TEL : (+81)82-424-7703 FAX : (+81)
Self-introduction
Research on design, planning and control techniques of large-scale, complicated manufacturing systems, inventory system and supply chains.

Basic Information

Major Professional Backgrounds

  • 2015/04/01, 2020/03/31, Facalty of Engineering, Hiroshima University, Division of Electrical, Systems and Mathematical Engineering, Assistant Professor
  • 2012/04/01, 2015/03/31, Sophia University, Faculty of Science and Technology, Research assistant

Educational Backgrounds

  • Sophia University, Graduate School of Science and Technology, Information Science, JAPAN, 2012/04, 2015/03
  • Sophia University, Graduate School of Science and Technology, Information Science, JAPAN, 2010/04, 2012/03

Academic Degrees

  • Sophia University

Research Fields

  • Complex systems;Social / Safety system science;Social systems engineering / Safety system

Research Keywords

  • Industrial Engineering
  • Supply chain management
  • Production management
  • Inventory management
  • Logistics

Affiliated Academic Societies

  • Japan Industrial Management Association, 2012/07
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Educational Activity

Course in Charge

  1. 2022, Graduate Education (Master's Program) , 1Term, Special Exercises on Electorical, Systems, and Control Engineering A
  2. 2022, Graduate Education (Master's Program) , 2Term, Special Exercises on Electorical, Systems, and Control Engineering A
  3. 2022, Graduate Education (Master's Program) , 3Term, Special Exercises on Electorical, Systems, and Control Engineering B
  4. 2022, Graduate Education (Master's Program) , 4Term, Special Exercises on Electorical, Systems, and Control Engineering B
  5. 2022, Graduate Education (Master's Program) , Academic Year, Special Study on Electorical, Systems, and Control Engineering

Research Activities

Academic Papers

  1. ★, Applying genetic algorithm for can-order policies in the joint replenishment problem, Industrial Engineering & Management Systems, 14(1), 1-10, 201503
  2. Facility Location Alternatives between Expected and Worst Case Time Performance in Humanitarian Relief Logistics, Journal of Japan Industrial Management Association, 66(2E), 201509
  3. リードタイムの短縮費用と可変バックオーダー率を考慮した在庫モデルの提案(in Japanese), 日本経営工学会論文誌(in Japanese), 65(4), 278-285, 201501
  4. 入出庫単位が異なる場合の発注点補充点方式の検討(in Japanese), 日本経営工学会論文誌(in Japanese), 65(4), 294-301, 201501
  5. Humanitarian Relief Logistics with Time Restriction: Thai Flooding Case Study, Industrial Engineering & Management Systems, 13(4), 398-407, 201412
  6. Semiconductor supply planning by considering transit options to take advantage of pre-productions and order cancellations, Simulation Modelling Practice and Theory, 41, 46-58, 201402
  7. ★, Applying Random Forests to Decide Ordering Policy Based on Important Shipping Statistics, Journal of Japan Industrial Management Association, 64(4E), 579-590, 201403
  8. ★, Joint Replenishment Problem in Multi-Item Inventory Control with Carrier Capacity and Receiving Inspection Cost, Operations and Supply Chain Management: An International Journal, 6(3), 111-116, 2013
  9. ★, Genetic-algorithm-based coordinated replenishment in multi-item inventory control, Industrial Engineering & Management Systems, 12(3), 172-180, 2013
  10. ★, Selecting Ordering Policy and Items Classification Based on Canonical Correlation and Cluster Analysis, Industrial Engineering & Management Systems, 11(2), 134-141, 2012
  11. ★, Robust flow shop scheduling with random processing times for reduction of peak power consumption, Simulation Modelling Practice and Theory, 59, 102-113, 2015
  12. Multiple can-order level for can-order policies under carrier capacity and correlated demands, Journal of Japan Industrial Management Association, 67(2E), 114-123, 2016
  13. ★, Redesigning an existing recovery logistics network in closed loop supply chain, Journal of Japan Industrial Management Association, 67, 348-357, 2017