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IoT Tool for On-Site Improvement for Small and Medium Enterprises: 'Genba Vision'

IoT Tool for On-Site Improvement for Small and Medium Enterprises: 'Genba Vision'

Can be retrofitted to existing equipment, and while it is a simple system, it delivers reliable results! Easily record data to achieve production management, address short stoppages, and implement measures against equipment downtime.

~ Attention processing and resin molding companies! Proposals for on-site improvements that achieve productivity enhancement and labor reduction ~ Have you been thinking, "I'll do it someday... it's too early for us..."? Why not easily start switching from those analog tasks? 'Genba Vision' is an on-site improvement IoT tool that easily records production status and equipment downtime in data and automatically analyzes it. Recording production status and operations during anomaly detection can be easily and intuitively operated by anyone using a touch panel monitor. This tool, born from the voices of the manufacturing industry, features a simple system that allows you to easily start data collection. It significantly contributes to productivity enhancement through measures against equipment downtime and production quantity management, making it an ideal tool for small and medium-sized enterprises! [Features of Genba Vision] ■ Can be retrofitted to existing equipment regardless of age (regardless of manufacturer or model year) ■ Easy to implement with intuitive operation ■ Effective for analyzing causes of equipment downtime ■ Recorded data is automatically digitized and graphed *If you're wondering whether you can implement it in-house or what kind of effects you might expect, please feel free to consult with us. For product information, please view the materials from [PDF Download].

  • Process Control System

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[Resin Molding - On-Site Improvement Case] Increased Work Efficiency through Identification of Equipment Downtime Causes and Countermeasures

[Resin Molding - On-Site Improvement Case] Increased Work Efficiency through Identification of Equipment Downtime Causes and Countermeasures

Monthly equipment downtime reduced by 63.3%! Introducing a case study on the IoT tool 'Genba Vision' that produces reliable effects with a small start.

The on-site improvement IoT tool 'Genba Vision' developed by Matsuda Electric Industry Co., Ltd. is an IoT system that allows anyone to easily and intuitively operate functions such as recording production status and handling operations during abnormal detection using a touch panel monitor. We would like to introduce a case study where it was implemented in a manufacturing site. 【'Genba Vision' Case Study】 ◎ Target: Resin molding manufacturer ◎ Challenge: Frequency of machine equipment stoppages ■ Situation Before Implementation When resin is poured into a mold and solidified, the finished molded product and runners would scatter, causing them to get stuck in the mold and leading to machine equipment stoppages. ■ After Implementation (Data Analysis and Cause Investigation) Data analysis with this product revealed that stoppages due to mold jamming accounted for a significant 50% of the overall issues. ■ After Implementation (Countermeasures for Equipment Stoppages) By processing inexpensive commercially available plastic products and installing them as covers, we were able to prevent the scattering of molded products and runners, resulting in a 63.3% reduction in monthly equipment stoppages caused by the same issue! *For more details, please refer to the PDF document or feel free to contact us.

  • Resin processing machine

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[Data] On-site improvement IoT tool 'Genba Vision'

[Data] On-site improvement IoT tool 'Genba Vision'

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.

  • Production Management System

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【Release of Molded Products - Improvement Case】Significant Reduction in Troubles by Identifying Stopped Machines and Adjusting Equipment

【Release of Molded Products - Improvement Case】Significant Reduction in Troubles by Identifying Stopped Machines and Adjusting Equipment

Significant reduction in mold-related troubles! Introducing a case study on the IoT tool 'Genba Vision' that produces reliable effects with a small start.

The on-site improvement IoT tool 'Genba Vision' developed by Matsuda Electric Industry Co., Ltd. is an IoT system that allows anyone to easily and intuitively operate functions such as recording production status and handling operations during anomaly detection using a touch panel monitor. We would like to introduce a case where it was adopted in a manufacturing site. ■ Situation Before Implementation When there was an uneven arrangement of the ejection pins, the molded products would get caught and not release properly when being ejected, resulting in them being tilted. ■ After Implementation (Data Analysis and Cause Investigation) By analyzing the equipment downtime data obtained from this product, we identified the molding machines that frequently stopped. Upon further investigation, it was discovered that when releasing the molded products from the mold, the position of the ejection pins was causing the products to remain in the mold without being released properly, leading to the stoppages. ■ After Implementation (Countermeasures) By changing the position of the pins and utilizing air blow to assist with the release, the issues with releasing the products were significantly reduced. *For more details, please refer to the PDF document or feel free to contact us.

  • Resin mold

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Tokai Region × Manufacturing companies with 300 or fewer employees [On-site Improvement System]

Tokai Region × Manufacturing companies with 300 or fewer employees [On-site Improvement System]

There is a resistance to digital technology, but I want to work on improving production efficiency and measures against equipment downtime...! An IoT tool born from the voices of the field. *Can be retrofitted to existing equipment.

We have a track record of hiring in manufacturing companies in the Tokai region, centered around Aichi Prefecture! If you are in the press processing, resin molding, or processing industry, please feel free to contact us. For companies that have the impression of "I'll do it someday... our digitalization is fast..." we would like you to try our 【On-site Improvement IoT Tool - Genba Vision】. 'Genba Vision' is an on-site improvement IoT tool that easily records production status and equipment downtime in data and automatically analyzes it. Recording production status and operating during anomaly detection can be done easily and intuitively by anyone using a touch panel monitor. It is truly a tool for small and medium-sized enterprises, significantly contributing to productivity improvement through measures against equipment downtime and production quantity management! 【Features of Genba Vision】 ■ Can be retrofitted to existing equipment, regardless of manufacturer or model year ■ Easy to implement with intuitive operation ■ Effective for analyzing causes of equipment downtime ■ Recorded data is automatically digitized and graphed * If you are wondering whether you can implement it in-house or what kind of effects can be expected, please feel free to consult us. You can view product information from the [PDF Download].

  • Process Control System

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