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Progressive Logistic Science
Corporate Sponsored Research Programs

Solve the issues in the modern logistics industry by scientific methods and advanced technologies

The shortage of labor is a critical issue in all industries in Japan due to decreasing population and changes in the social environment, such as strengthening compliance and work style reform. It is even more serious in the logistics industry which is more labor-intensive than other industries. The issue may have a major impact on the development of economy and industry for the future. Logistics has been optimized based on human intuition and experiences. The method is no longer effective in the current social situation, and application of emerging technologies, such as AI and IoT, is required to solve the issues and optimize logistics. However, there are few people who can use the technologies in the industry, and more education is expected in universities about the application of the technologies to the logistics industry. At our laboratory, Progressive Logistics Science, we aim to develop scientific knowledge of students who can solve issues in logistics by the emerging technologies and build supply chain based on science. We also study solutions to various issues in logistics using the emerging technologies and various mathematical methods.
Furthermore, towards the realization of the next-generation network logistics, we are developing fundamental theories to enhance the robustness and efficiency of the system.

Advanced technologies create future logistics
Advanced technologies create future logistics

Novel Logistics network: Demand Web Model
Novel Logistics network: Demand Web Model

Cooperation Company/Organization

  • ・Yamato Holdings, Co., Ltd.
  • ・SBS Holdings, Co., Ltd.
  • ・Suzuyo & Co., Ltd.
  • ・NIPPON EXPRESS Holdings, Inc.
  • ・Development Bank of Japan

Member

Katsuhiro NISHINARI

Professor
Katsuhiro NISHINARI

Takahiro EZAKI

Project Lecturer
Takahiro EZAKI

Project Research Associate Aolong ZHA
Project Research Associate Hiroki MURATA
Project Research Associate Geng CUI

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