Shop‑floor metrics matter
- A Datanomix video argues many business plans fail because shops don’t measure setup times, cycle times, and margins. - The discussion features HexagonMI experts emphasising precise tracking of setup and cycle metrics. - Capturing those metrics reveals hidden losses common in precision machining, like long setups, waiting, and rework. (x.com)
Machine shops often quote jobs and set growth plans without measuring the hours that actually disappear in setup, cycle time, and rework. Datanomix and Hexagon Manufacturing Intelligence are now making that gap a central pitch in their joint manufacturing webinars and product materials. (datanomix.io) Datanomix says its ERP Insights product compares planned setup and cycle times with live machine performance so shops can see whether quotes and job plans match reality. The company says that analysis is meant to protect profit margins before managers wait for month-end reports. (datanomix.io) Hexagon’s Manufacturing Intelligence division has been tied to Datanomix since an April 1, 2023 partnership announcement, when the companies said they would bring real-time factory analytics to Hexagon’s manufacturing customers worldwide. The stated targets were production efficiency, utilization, cycle times, and part margins. (datanomix.io) In machining, setup time is the stretch from the last good part of one job to the first good part of the next, including teardown, preparation, loading tools and fixtures, and getting the program ready. If that interval is not measured, the lost hours are easy to bury inside overhead instead of tying them to a specific job. (mmsonline.com) That problem is bigger in high-mix job shops, where changeovers happen constantly and managers may still rely on spreadsheets or operator memory. Datanomix says many manufacturers assume utilization runs at 70% to 90%, while real machine data often shows 30% to 50%. (datanomix.io) The company’s current production-monitoring materials say its software pulls raw data directly from computer numerical control machine controllers with “No Operator Input” required. Datanomix says new customers typically raise machine uptime by 10% to 20% during pilot programs. (datanomix.io) The sales argument is straightforward: if a shop knows the actual button-to-button cycle time on a part and the real setup burden around it, it can spot jobs that look busy but miss margin. Datanomix’s Hexagon marketplace listing says its automated job-costing analytics compare ProShop ERP target takt times, or button-to-button cycle time, with machine actuals on a per-part basis. (hexagon.com) Outside vendors make similar claims about the value of attacking setup and cycle losses. Modern Machine Shop has reported that organized setup procedures can cut changeover time by 50% or more, while digital-manufacturing case studies from McKinsey describe double-digit gains in overall equipment effectiveness and lower unit costs when factories use machine alarms and analytics to target losses. (mmsonline.com) (mckinsey.com) Datanomix’s own customer examples frame the same issue in shop-floor terms. A case study on Nikel Precision Group’s 40,000-square-foot plant in Saco, Maine says the system calculates setup time, cutting time, utilization, cycle time, true machine cost, and setup cost by machine and by job. (hubspotusercontent-na1.net) The immediate fight is not over whether setup and cycle time exist; it is over whether shops can afford to keep estimating them. In a market where lead times, labor shortages, and tighter margins all hit at once, the shops that measure those minutes first get to decide what to fix next. (datanomix.io)
