Latest Manufacturing Analytics Dashboard Now Comes with Predictive Maintenance Tools
Press Release Summary:
- Offered with new eleven dashboard panels for measuring analytic trends across multiple shifts
- Allows keying of manufacturing metrics of compliance, utilization, maximum, minimum and average measured values
- Predictive Maintenance (PdM) programs can be created by accessing to the data from wireless sensor system
Original Press Release:
Swift Sensors Adds Trend Analytics Tools for Manufacturing Applications of Predictive Maintenance
Eleven new dashboard panels for measuring analytic trends add predictive maintenance tools to Swift Sensors Industrial IoT wireless sensor system
AUSTIN, Texas, March 7, 2019 /PRNewswire/ -- Swift Sensors, developers of Industrial IoT wireless sensors systems, announced today its new predictive maintenance tools for its Manufacturing Analytics Dashboard. The new tools add trend analytics to key manufacturing metrics of compliance, utilization, maximum, minimum and average measured values monitored by the wireless sensor system. Eleven new dashboard panels have been added for measuring analytic trends across multiple shifts.
"We have deployed more than 100 Swift Sensors in our manufacturing facility to improve operational efficiency," said Jackson Minear, Continuous Improvement Engineer at Meggitt Airframe Systems. "We use just about every feature in the Analytics Dashboards to track utilization of our equipment as well as critical trends across multiple shifts over time. Conservatively, we've improved our machine utilization by 20% while saving six figures in capital equipment expenditures."
"Our manufacturing customers, particularly those using our wireless temperature and vibration sensors, frequently ask for advanced analytics tools to improve operational efficiency through higher overall equipment effectiveness (OEE) and lower maintenance costs," said Sam Cece, founder and CEO of Swift Sensors. "With the access to data from our wireless sensor system, Predictive Maintenance (PdM) programs can be easily created using our Manufacturing Analytics tools, which is included in the new Trend Analytics Dashboards."
The trend analytics include a confidence percentage to indicate how well the trend line correlates with the historical data. A high confidence level indicates the trend is more likely to continue. Conversely, a low confidence level indicates the trend is not a reliable predictor of future values because the historical data is too chaotic.
ABOUT SWIFT SENSORS
Swift Sensors, Inc. is a cloud wireless sensor IoT company, providing a low-cost sensor system for industrial and commercial applications. Its flagship product is the Swift Sensors Cloud Wireless Sensor System, comprised of low-power wireless sensors and cloud-based monitoring, notifications, analytics, and reporting. Swift Sensors applications include manufacturing, food service, facility management, cold chain, transportation, research & development, and power. The headquarters is located at 4611 Bee Caves Road, Suite 100, Austin, Texas, 78746. For more information, please visit www.swiftsensors.com or call +1-866-308-1340.
CONTACT: Bonnie Moss, Moss Networks, 818-995-8127, bonnie@mossnetworks.com
Web Site: http://www.swiftsensors.com
