Introduction of Exhibiting Companies at Robot Festa Fukushima 2025
General Research Encouragement Association (Iza) Japan Unmanned Aircraft Operation Management Consortium (JUTM)
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- Company:福島県 次世代産業課
- Price:Other
Last Updated: Aggregation Period:Jan 21, 2026~Feb 17, 2026
This ranking is based on the number of page views on our site.
Last Updated: Aggregation Period:Jan 21, 2026~Feb 17, 2026
This ranking is based on the number of page views on our site.
Last Updated: Aggregation Period:Jan 21, 2026~Feb 17, 2026
This ranking is based on the number of page views on our site.
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General Research Encouragement Association (Iza) Japan Unmanned Aircraft Operation Management Consortium (JUTM)
No description available.
We will introduce a case where document organization was carried out and inspection results and drawings were managed using IT!
We would like to introduce a case study on how a manufacturing company improved its quality control and assurance levels by utilizing IT. The company faced the challenge of increasing complaints in recent years, as quality was considered based on individual awareness. After implementation, quality was managed in accordance with quality regulations using IT. This resulted in a 50% reduction in the recurrence of defects during final inspections and a 30% decrease in initial occurrences. Complaints were halved in the first year and continued to gradually decrease thereafter. [Case Summary (Partial)] ■ Challenges - Quality was considered based on individual awareness, leading to an increase in complaints in recent years. ■ Results - 50% reduction in the recurrence of defects during final inspections, 30% decrease in initial occurrences, and complaints halved in the first year, with a continued gradual decrease thereafter. *For more details, please feel free to contact us.
Achieve improved accuracy and efficiency in inventory management by integrating FA and AI.
In inventory management within the logistics industry, it is important to accurately grasp the inventory count and maintain an appropriate amount of stock. Excess inventory increases storage costs, while shortages lead to lost opportunities. By utilizing AI, it becomes possible to enhance the accuracy of demand forecasting and maintain optimal inventory levels. Our FA×AI solution contributes to the efficiency of inventory management and cost reduction. 【Use Cases】 - Automatic counting of inventory within the warehouse - Automation of inbound and outbound management - Optimization of order quantities based on demand forecasting 【Effects of Implementation】 - Reduction of inventory management costs - Decrease in lost opportunities due to stockouts - Increased efficiency of warehouse operations