Our guest on today’s show is Eric Fogg, co-founder and head of machine connectivity at MachineMetrics. MachineMetrics produces a device that connects directly with machine tool PLCs and controls to track realtime and historical data on equipment. Operators use the data to assess how machines are truly performing, which is often quite different from what they perceive.
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Main Points
(3:10) Eric explains that MachineMetrics is a machine data connectivity data platform. The company makes a device (he calls an “edge device”) that connects directly to machine controls and sensors of production equipment. The device gathers valuable data on how the machines are performing and sends it to operators to analyze.
(4:10) Eric talks about taking machine shop classes in high school. During high school he worked at a lot of different machine shops on nights and weekends and taught himself programming.
(7:00) Eric says that MachineMetrics can gather data from all vintages of machine tools, not just CNC machines, though CNC machines provide the most data. He says right now MachineMetrics has a client using its edge device to gather data from a punch press that was manufactured in 1925. He says, “As long as it moves and has electrons flowing through it we can probably get some useful data out of it.”
(10:00) Eric says that in college he majored in theology because he wanted to work in the field of corporate ethics. Eventually he started his own machine shop in his mid 20s that specialized in green technology products.
(14:00) Eric says that when the 2008 recession hit he started doing more job shop type work with low margins. He eventually closed his company started doing Six Sigma consulting for job shops in Vermont. The experience of analyzing the processes of different shops inspired the idea for MachineMetrics. He says he observed that shops were often making decisions based on a gut feeling rather than based on data. He came up with the idea to pull the data that already was on the machines’ controls to create reports, dashboards and analytics to help machining companies make decisions.
(20:25) Eric says the most basic data MachineMetrics tracks is machine utilization—how much machines are running versus how much people think they are running. He says the average perceived utilization of equipment by MachineMetrics’ customers is just under 80%. The actual average is in the high 20 percents to low 30 percents (the numbers are based on active shifts). He says that the numbers can be surprising as various markets differ. For instance, he says for some types of very low volume work (1 or 2 part runs) 15% utilization might be considered world class. He says for high volume shops utilization is often much higher. For instance, he says shops making millions of parts with much thinner margins sometimes have utilization in the 90 percents. He says that no matter what type of shop, clients are usually surprised at their utilization rates.
(24:10) Eric gives some examples of how MachineMetrics data uncovered problems that led to low machine utilization. He gives an example of a client who was using cheap 1/4” drill bits on a drill and tapping center. The company calculated it took only 5 minutes to change a drill bit out, so they used cheaper ones with short tool life. The problem was that while operators left to get a new drill bit from the tool crib they got sidetracked and the average time to change the drill bit was actually over 40 minutes. After learning this the owner of the company decided to go out and buy the most expensive drill bit that lasted 10 times longer than those he was using. It was a solution that was much faster and easier to implement then changing the procedure in the shop which could have tons of variables to consider.
(27:40) Eric says that MachineMetrics generally does not advise customers how to use the data they collect.