Suppliers
United States
MachineMetrics
Overview
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MachineMetricsManufacture with Confidence. |
| United States | |
| 2009 | |
| Private | |
| < $10m | |
| 11 - 50 | |
| Open website |
IoT Snapshot
Case Studies
Number of Case Studies3
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Fastenal Builds the Future of Manufacturing with MachineMetrics
Fastenal's objective was to better understand their machine downtime, utilization, quality issues, and to embrace cutting-edge manufacturing technology/process improvement capabilities to bring their team to the next level. However, there was a lack of real-time data, visualization, and actionable insights made this transition impossible. |
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MachineMetrics Helped Carlson Products to Increase Efficiency by over 20%
There’s always a sort of lag in the information we get from the ERP. It’s not real time, its not updated every second. We were able to see what happened yesterday, what happened last week but not what was happening right now, and we would always have to somehow fill that gap. Also, to get data into the ERP we were relying on a human being to accurately define and manually input the information to enter it into our database.All of the real-time monitoring systems that Carlson Products had seen were only dedicated to machining. They had chats with some of their equipment providers and the solutions they attempted to provide them with were not visually appealing, not web-based and felt quite rudimentary. They did attempt to do manual tracking before MachineMetrics, and they got so much junk data that they just stopped trying. They kept a Microsoft access database where employees would track this information themselves but with all the huge outliers, data it went to hell and a handbasket.The most important thing Carlson Products wanted was to look at was historical labor data information: whether or not the jobs were on target. Tracking down the supervisors and operators to understand why theyweren’t on target was quite time consuming, not to mention most of their employees had difficulty remembering why problems had occurred whenreviewing the issues reactively. There was no ability to identify systematic issues vs singular issues. Also, the lack of historical data made it difficult for them to calculate their utilization as well as their potential capacity. |
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MachineMetrics helped Carolina Precision saved over $1.5M on machine monitoring
Gary Bruner, the president of Carolina Precision Manufacturing, a contract manufacturer that specializes in small-diameter, close-tolerance CNC Swiss turned parts, had a problem. Over breakfast that morning, Gary had logged onto the MachineMetrics monitoring system on his laptop at home to check the status of his machines assigned to a lights-out operation, but saw immediately that two of his machines were not in production. “What’s wrong with machines 35 and 36?” he thought to himself.Upon arrival to the shop, Gary learned from his operator on duty that this type of hold up was nothing out of the ordinary, and was in fact a product of inefficient startup procedures that had simply never been analyzed or augmented previously.In an industry with razor thin margins, Gary understood that the keys to growth and success were in efficiency and quality. He understood the importance of keeping tabs on production stats, job status, uptime, and setup. However, there was no way to know how well machines were doing in real time. What was causing this additional downtime?Furthermore, CPM’s current methods of measurement and data collection were not only time consuming, but had quickly becoming outdated. Historically, CPM had an employee dedicated to the collection of utilization data. This employee would walk around to each of the machines, collect scrap tickets post-production, talk to operators, and record yesterday’s data into their current ERP system; not to mention that this manual data collection was prone to errors, and would take upwards of 2 hours per day. Without the ability to visualize their results, the recorded data was not very actionable. |
News
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Case Study: MachineMetrics provides real-time production data
Smart Industry - 21 Feb, 2018
by Graham Immerman, director of marketing with MachineMetricsThe Case StudyMachineMetrics is an IIoT-analytics platform that monitors production in real-time, providing visualizations of real-time production data, instant notifications and predictive capabilities that help identify production bottlenecks, measure proce
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Industries
Number of Industries4
- Automotive
- Construction & Buildings
- Equipment & Machinery
- Other
Functions
Number of Functions3
- Discrete Manufacturing
- Maintenance
- Quality Assurance
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Partners
Number of Partners1
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SECO
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