IEEE Systems, Man, and Cybernetics (SMC) Hiroshima Chapter

IWCIA2025 | Keynote Talk

GENERAL

PROGRAM

  • Technical Program
  • Keynote Talk[8/30]
  • Convivial Party in Hiroshima Night
  • Guideline for Presentation

AWARDS

  • IEEE SMC Hiroshima Chapter Best Presentation Award

SUBMISSION/REGISTRATION

CONTRIBUTIONS

IEEE SMC Hiroshima Chapter Invited Special Talk

Keynote Talk

Challenges of Weather-Driven Supply Chain GX Support System by AI and Mathematical Collaboration for Renewable Energy and Remanufacturing: Look-Ahead Trump Tariff, Work-Life Balance and Carbon Neutrality (tentative)

Speaker

Prof. Tetsuo Yamada
The University of Electro-Communications, Japan

Abstract

Our daily lives are supported by any types of products manufactured and transported in supply chain across regions and countries. However, products manufactured by the supply chain inevitably consume natural resources for materials and energy, and emit GreenHouse Gas (GHG) throughout their product lifecycle. Therefore, carbon neutral and circular economy supply chain has been essential for our sustainable future. To reduce GHG emission intensity in the supply chain, renewable energy such as solar energy which depends on sunlight and weather should be introduced to the supply chain. To implement solar energy demand-to-supply management with forecasting power generation and consumption, machine learning and mathematical collaboration are expected to incorporate with solar power usage and supply chain activities.
Moreover, Trump tariff has been impacted on global supply chain networks. One of the reasons is that the American government needs to create manufacturing jobs for regular citizens by made in local American towns. On the other hand, declining birthrate and aging population bring limited available number of workers in Japanese local towns, and then work-life balance becomes more important to maintain Japanese society. Thus, we should look ahead social emerging issues locally but globally as well as environmental ones in the supply chain.
This study overviews challenges of weather-driven supply chain GX support system by AI and mathematical collaboration for renewable energy and remanufacturing, and also discusses how to connect emerging social and environmental issues locally and globally for look-ahead Trump tariff, work-life balance and carbon neutrality.

2025年08月30日