Cloud-based machine monitoring from Shop Floor Automations
Cloud-based machine monitoring
Cloud-based machine monitoring from Shop Floor Automations enabled aerospace parts manufacturer Tech Manufacturing to reduce lead times and improve productivity.
When companies such as Boeing, Lockheed Martin and Bombardier have urgent orders, how can a shop that is already running 24/7 reduce its lead time? This was the problem faced by Tech Manufacturing (Wright City, Missouri), a long-time manufacturer of machined metal parts for the aerospace industry. By introducing cloud-based monitoring from systems integrator Shop Floor Automations (La Mesa, California), Tech Manufacturing was able to pinpoint exactly where productivity issues needed to be addressed to maximize efficiency.
One way the company could have solved this problem would have been to purchase additional machines; however, Jerry Halley, chief engineer at Tech Manufacturing, was interested in finding a smarter, more efficient approach.
“It was clear to me that we needed, first and foremost, a much better understanding of how our machines were actually performing for us in real-time,” Mr. Halley says. “In addition, if we had both live and historical machine performance data available, we should be able to identify any technical or process issues that were detrimental to individual or overall productivity.” Read more below.
Although this information would be helpful, obtaining machine performance data would require an investment in both monitoring hardware and software. Although Mr. Halley saw the value of establishing a smarter, more connected machine floor, he had concerns about deploying a server-based IT infrastructure to support a CNC monitoring system. Not only would this be technically challenging, time-consuming and expensive, it would also introduce new in-house maintenance requirements.
These concerns were familiar to Greg Mercurio at Shop Floor Automations, who says that many companies think setting up CNC monitoring is difficult and expensive. However, he says, today’s cloud-based solutions enable shops to set it up in less than a day with almost no additional IT infrastructure or maintenance effort. For Tech Manufacturing, there was no need to purchase expensive and locally maintained IT infrastructure, because the monitoring software is on the Internet.
Although cloud-based software such as Scytec DataXchange or Predator Machine Data Collection can easily monitor CNC machines that already have the necessary interfaces to connect to a network and the Internet, there are also ways for legacy machines without a readily available Ethernet port to establish cloud connectivity. Shop Floor Automations uses industrial networking units from Moxa to extend the capabilities and useful life in older CNC machines.
Each CNC machine at Tech Manufacturing is simply connected to the local area network, either through its own native interface or through the Moxa hardware. The information is then relayed to the cloud for immediate analysis and viewing. The Scytec DataXchange software collects a rich set of machine performance data, stores it in the cloud, and in near real-time, presents it in a useful, easy-to-understand way, the company says. Key performance metrics are organized on a visual dashboard, which updates automatically and can rotate through multiple sets of data, so owners and machine operators are able to see exactly how productive each cell is, down to the machine level.
For many companies, this is a “light bulb moment,” Mr. Mercurio says.
“Productivity monitoring can be a vague concept to wrap your head around, but once you see it for yourself with your own machines and with live data, you wonder immediately how you ever operated without that knowledge and awareness.”
The dashboard made it easy for operators at Tech Manufacturing to see immediately where their most glaring issues were. For certain machines, the company found setup times to be unnecessarily long, meaning hours of lost productivity every day. With a relatively simple rearrangement of setup sequence and on/off times, Mr. Halley was able to achieve immediate and significant productivity gains.
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