Factory equipment management uses IoT-enabled sensors to monitor and track the performance and location of manufacturing equipment to optimize processes, reduce theft and misuse, and prevent unscheduled downtime.
Unexpected downtime in manufacturing can be costly – resulting in the loss of not only product, but wages, utilities, and then the cost of emergency maintenance to downed equipment. The average outage costs companies $17,000. And although equipment failure is a major contributor to unexpected downtime, a 2017 survey found that 70 percent of companies lacked a complete awareness of when the equipment was due for maintenance or upgrade.
Factory equipment management solutions allow for a more complete understanding of manufacturing equipment’s performance and utilization, ensuring not only that the equipment is operating properly, but that its being used efficiently by staff on-site. By constantly monitoring equipment, systems can alert companies when equipment is due for maintenance or is under-performing and enables them to schedule maintenance before the need is urgent and prevent an outage.
Using RFID or Bluetooth low-power equipment management solutions can track the performance and location of manufacturing equipment. Retrofit kits and sensors allow companies to track performance without replacing legacy equipment.
Monitor OEE, machine utilization, and equipment downtime in real-time to maximize production efficiency.
Visualize real-time manufacturing data, get access to historical production analytics, and make faster, more confident decisions.
Power predictive analytics applications with high-frequency machine data to diagnose, predict, and avoid manufacturing equipment failure.
MachineMetrics Industrial IoT Platform transforms your shop floor data from insights into actions with powerful apps that reduce machine downtime, increase your throughput, and maximize profitability.
MachineMetrics Edge Platform provides a scalable solution for manufacturers that can be self-installed to easily collect data from any piece of equipment and enable actionable machine insights in a...