Building an IoT-based Smart Paint Shop
First written in FY2017. 3 of 4 entries say "Advanced", first in FY2020. Latest entry: FY2023.
1 other company's latest entry also says "Advanced".
- FY2023AdvancedAnnual report
「We have long focused on developing “i-Navistar,” a system that uses IoT and AI to analyze the causes of operating stoppages and quality defects. To contribute to automakers’ decarbonization efforts, we are now also developing the energy management system (EMS) functionality for painting plants, designed to “visualize wasted energy and optimize energy management using a simulator function.” The system has already attracted strong interest from many automakers.」
Development has progressed to adding EMS functionality to i-Navistar for visualizing and optimally managing energy use at painting plants. - FY2022AdvancedAnnual report
「“i-Navistar” mainly consists of two systems: an operational analysis system and a quality analysis system. In addition to a track record of delivery to automotive painting lines, further new orders have already been decided.」
The IoT- and AI-based operational and quality analysis systems for painting plants have secured new orders in addition to their delivery track record, and development has also progressed on energy management functionality. - FY2020AdvancedAnnual report
「Development of the J-Detect system has been completed, and commercial sales have begun. Multiple pilot programs are currently being evaluated in cooperation with automakers, while consideration is also under way regarding implementation by other automakers.」
The automated defect inspection system related to Smart Paint Shop has completed development and begun commercial sales, and has progressed to multiple pilot evaluations and consideration of implementation. - FY2017First statedAnnual report
「Under this project, the company is developing a system capable of improving product quality, predicting equipment failures, and enhancing worker safety.」
Geico S.p.A. launched a project with Industry 4.0 in mind and is introducing big data, deep learning, and AI tools to improve quality, predict failures, and enhance safety.