需要予測の精度向上•共有化による省エネ物流プロジェクト

摘要

世界では，あらゆるモノがイン夕ーネットにつながりデ一夕化するIoT (Internet of things)社会が現実のものになつてきている。2015年は第四次産業革命の元年と言われており，今後は業種の壁を超えたデー夕連携.人工知能などを用いた解析の高度化，機械を利用したオペレーションの自律化が重要になってくる。%Recently, in the world, industry4.0 is taking place. Japan suffers from shortages of personnel by the decreasing working age population, and food loss and waste is a problem that should be solved. Meteorology has relationships with various industries and can be used to make physical predictions. In this project, we improved the precision of weather forecast and demand forecast by using the technology of AI (Artificial Intelligence), and carried out pilot experiments for energy conservation by sharing demand forecasts with members of the supply chain. Our experiment had 3 results: 1. improved precision of demand forecast by approximately 30%, and reduced food loss of Tofu; 2. reduced unused stock of hiyashi-chuka by 20% by forecasting the final production amount; and 3. promoted a modal shift and improved the economic operation of ship systems, reducing carbon dioxide emissions by approximately 48%.