Unplanned Failures: A Primary Cause of Operational Losses
Unexpected chronic failures cause severe losses including: 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.
For Production & Maintenance Operations
For Manufacturing, Food Processing, Pulp & Paper, Telecom Field Service, IoT Assets
For Process Engineers
Process engineers will love this. They will get the engineering diagnostics to make decisions that can prevent failures in production process, including process quality, yield and downtime. Fix permanently with a diagnostics study. Or, if too complex, add continuous monitoring to gain enough advance notice to respond proactively. With all predictions, underlying engineering diagnostics are provided to enable permanent fixes to operation and prevent failures entirely.
For Reliability Engineers
Maintenance reliability engineers will love this. They will get the engineering diagnostics to make decisions that can prevent failures in equipment life, including degradation based prognostics and remaining useful life (RUL). Fix permanently with a diagnostics study. Or, if too complex, add continuous monitoring to gain enough advance notice to respond proactively. With predictions, underlying engineering diagnostics are provided to enable permanent fixes to operation and prevent failures entirely.
Operational Gains We Enable
For Manufacturing, Food Processing, Pulp & Paper Production, Telecom Field Service, Global IoT Assets, Telematics
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.
No data science expertise required by you, the customer.
Service 1: Let's Scope Your Challenges
A no charge consultation. We help you understand the opportunity, the path forward. You don't get a sales pitch. You get to talk with an experienced deployment engineer about how to make AI work for your operation. We have experience in a wide range of industries from manufacturing to power generation to field service. Common topics include:
So, schedule a free call, get a demo of our platform or just submit some questions.
Service 2: Prescriptive Diagnostics Reports
These are one-off diagnostics projects conducted for you by the experts at DecisionIQ. They use on-site historical data to generate advanced engineering analytics using machine learning. The deliverable is an engineering report that either process engineers or maintenance reliability engineers can use to identify the cause of the failure being investigated. They can then use this report to permanently fix the cause of failure. These projects do not require cloud data or IT infrastructure. We take historical data from any sensor any data type in spreadsheet format. These projects are typically executed in 30 days.
Service 3: Continuous Failure Monitoring
Some failures are too complex to be easily or permanently fixed with the failure diagnostics reports provided in Service 2. The only way to prevent theses failures is to monitor your process or operation in real time with our Industrial AI platform. It uses advanced engineering analytics to build sophisticated digital twins that spot the early complex trends in data that indicate a failure is underway before a human can detect them. These failure predictions are combined with a companion diagnostics report that enable support teams to make fast, informed decisions and schedule a fix before the failure happens.
We Manage the Platform and Analytics for You
DecisionIQ's expert engineers and data scientists understand your problems and your data. They provide quick turn around and deliver intelligent solutions.
No Platform to Download and Setup
You won't have to add staff to learn and operate our platform. Our expert engineers and data scientists do the work fast.
No Data Science Skills Required
We do all the data science work for you. Engineers and technicians use our platform with 10 minutes of training.
We have integrated two disciplines, engineering and data science, to create new type of machine learning not available elsewhere.
Results in 30 Days
Because there is no learning curve, you get actionable results in 30 days from delivery of data. No-coding skills required from your team.
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.