Assistance with on-site (machinery and equipment) improvements! Case study on reducing the number of abnormal stops in resin injection molding machines.
Are you truly aware of the challenges occurring on the manufacturing floor, such as 'inability to analyze the causes of machine stoppages' and 'inability to perform numerical analysis of production status'? This document introduces the on-site improvement IoT tool 'Genba Vision' developed for the manufacturing industry. Our product allows for easy recording of the causes and history of machine equipment stoppages via a touch panel. The accumulated data is automatically graphed and can be used for reports and other documentation. Please take a moment to read it. [Contents (partial)] ■ Case study on reducing the number of abnormal stoppages in injection molding machines - Case study - Cause analysis - Case study - Discussion - Case study - Cause analysis (1) - Case study - Implemented measures - Case study - Behavior patterns *For more details, please refer to the PDF document or feel free to contact us.
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【Other Listings】 ■Benefits ■PRICE ■Monitor Introduction ■Individual Web Consultation ■Request for Materials / Inquiries *For more details, please refer to the PDF materials or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Download All Catalogs![[Proposal Document] IoT Tool for On-Site Improvement for Small and Medium Enterprises 'Genba Vision'](https://image.mono.ipros.com/public/catalog/image/01/279/644823/IPROS26576711377777136500.jpeg?w=120&h=170)
Company information
Since our founding, we have believed that the essence of manufacturing lies in "creativity and improvement." While meeting our customers' needs, we prioritize ingenuity and creativity to solve problems one by one and propose new value. Our company is a proposal-oriented enterprise that continuously challenges itself to meet our customers' expectations by pursuing better quality.
![[Resin Molding - On-Site Improvement Case] Increased Work Efficiency through Identification of Equipment Downtime Causes and Countermeasures](https://image.mono.ipros.com/public/product/image/42d/2000705980/IPROS30611365618034366651.png?w=280&h=280)
![Tokai Region × Manufacturing companies with 300 or fewer employees [On-site Improvement System]](https://image.mono.ipros.com/public/product/image/212/2000733714/IPROS58808807358333542093.jpeg?w=280&h=280)
