Chronic Failures: A Primary Cause of Operational Losses
Unexpected chronic failures cause losses that include unplanned downtime events, yield shortfalls and quality battles. They require costly support teams to react and fix. Preventing these failures solves these problems. Our Industrial AI Machine Learning platform leverages your legacy operating data and builds a digital twin that predicts failures and matching prescriptive engineering diagnostics that are used to solve the cause of the failure.
Since entering the market, DecisionIQ has secured marquee enterprise customers from Coca-Cola to Southern Company. Our engineering analytics produces distinctly superior results with more accurate data science representation of your operation, also known as a digital twin. This is why our projects have consistently provided significant performance gains for our Industrial IoT customers.
Operational Gains We Enable
Predictive Failure & Prescriptive Diagnostics Solutions
Prevent Unplanned Downtime
Predict equipment failures that cause shutdowns and unplanned downtime. Get supporting prescriptive engineering diagnostics.
Predict Quality Failures
Predict and prevent production process conditions that cause quality to degrade and ultimately exceed limits.
Predict Yield Failures
Predict and prevent the process and maintenance factors that reduce output and cut into yield.
Predict EHS Compliance Failures
Predict and prevent the factors that lead to compliance failures.
Predict Inventory Imbalances
Predict too much or too little work in process (WIP) inventory throughout the production process.
Predict Delivery Delays
Predict delivery delays from breakdown in overall process including inventory shortfalls.
Reduce Reactive Support Costs
Predictive failures help an operation reduce the costly reactive component of their support operation.
Scale Technical Skill Across Operations
Failure alerts and engineering diagnostics enable technicians to cover more of a site in a day.
An Industrial IoT Platform Built for Any Operation
Highly Adaptable, Quick Results
Pulp & Paper
PREDICTED EQUIPMENT FAILURES
Any type of manufacturing including pulp and paper, food CPG, discrete product fabrication.
Food & Beverage
PREDICTED PROCESS, YIELD FAILURES
Predicted failures in process with diagnostics to find cause of chronic failures.
PREDICTED EQUPMENT FAILURE
For M&D Centers. Increase uptime, lower maintenance cos for renewables, fossil and nuclear.
Telecom & IoT Equipment
Reduce outages and field service costs for digital networks, CATV, microwave & cellular.
FLEET-WIDE PREDICTED FAILURES
Track & predict equipment, route failures in your vehicles thru OBD-II data.