Production Machining

DEC 2017

Production Machining - Your access to the precision machining industrial buyer.

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:: Real-time dashboards provide an at-a-glance overview of an entire shopfloor's performance Moving Toward a Smart Factory with Manufacturing Analytics By Bart Bishop M achine monitoring is the first step that companies can take into Industrial Internet of ings (IIoT). To become a data-driven manufacturer, a shop first needs the data. Manually tracking data can create a number of problems: It's inefficient to track, it can be inaccurate, and it's reactive. Real-time data, on the other hand, allows companies to make fast, proactive decisions to bring efficiency to their processes. While a large percentage of shops have plans to or are already using machine monitoring systems, MachineMetrics Inc. claims to have identified a gap in the manufacturing process that goes beyond what most other monitoring companies look to solve. "ere was a lack of real-time production visibility and a lack of communi- cation between machine operators and their managers," says Graham Immerman, MachineMetrics' director of marketing. "Our system solves this problem by providing visualizations of real-time manufacturing production data, instant notifications and historical analytics, allowing factory workers to make faster, smarter, more confident decisions based on real-time data." Automated Data Collection In its most basic form, MachineMetrics is a software appli- cation that provides an at-a-glance overview of all machines operating on a shop floor. Real-time data is collected from machine controls and machine operators for the entire production floor, and companies can use this data to monitor machine conditions (faults, status, tool usage), produc- tion (overall equipment effectiveness and machine usage), workorder status, quality tracking and downtime reasons that can be auto classified or indicated by the operator with touch- screen tablet interfaces mounted at the machine tool. e software displays a color-coded tile system that indicates if a job is functioning at or below expectations by comparing current performance with parts goals to produce real-time OEE (overall equipment effectiveness) metrics. Each tile on the dashboard represents a single machine. Color changes on the tiles indicate the machine's performance for the current shift, detailing if it's meeting, exceeding or falling short of expec- tations. e tiles display different data depending on if the machine is in production, setup or is unscheduled. During production, information is available for parts per hour, parts produced during a shift or run, percentage of :: MachineMetrics' mobile-friendly platform allows access to data from any secure device, including a phone. TECH BRIEF 26 PRODUCTION MACHINING :: DECEMBER 2017

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