Predictive Solution for Sensor Analytics

Michael Watson Ph.D Partner
Opex Analytics offers solutions to automate and improve:
  • Real-time monitoring by using state-of-the-art technologies, and 
  • Health assessment, predictive maintenance, and failure time predictions of devices, parts, and equipment
We offer custom-built information systems that link sensor data to better business outcome– better manage spare parts logistics and improve service, better manage inventory, improve production planning, or increase equipment throughput.
Companies that can benefit from taking advantage to sensor data include:
  • Companies with  healthcare devices such as hospitals, manufacturers, pharmacies where quality and uptime are critical
  • Manufacturers of high value equipment that needs to be serviced
  • CPG companies with expensive manufacturing equipment with a need for high OEE (Overall Equipment Effectiveness)

Case 1:   On a manufacturing floor it is easy to overlook stalled equipment. We offer a real-time monitoring solution of your equipment by using a modern technology stack that ties into your inventory management and supply chain.

Case 2: Predicting failure of parts in devices or equipment can decrease downtown, save maintenance cost, and, most importantly, retain or even gain customers. Opex has developed a state-of-the-art machine learning based solution to predict failures of parts and then adjust your spare parts logistics.

Case 3: Maximizing utilization of a fleet equipped with sensors is a daunting task. In addition to operational challenges due to scheduling, resources, etc there is always a chance of a breakdown of an asset. Multi-variate time series data from sensors can be used to predict the next life cycle of each asset. Opex has developed a complex solution taking simultaneously into account all sensor reads from all assets in the fleet.