Contextual Manufacturing Information
Data is a precious thing in today’s world. There is so much data that is generated from manufacturing that it’s nearly impossible to make meaning of it all. 99% of the manufacturing data collected and stored goes unused with untapped potential. It sits in cloud servers waiting for the day when someone will come and figure out how to digest it. The data lies in wait for context and meaning to unlock its production and financial secrets.
Data Analytics (DnA)
Actemium has spent decades contributing to the collection of data in manufacturing through the systems we deploy. We have watched our customers struggle to fully harness and understand what the data could tell them. Today we employ a team of Data Scientists (developers) and Data Storytellers (analyzers) that can dig in and reveal the potential of your data. Actemium offers a complete set of DNA services and solutions that extract the meaning and reasons behind what occurs in your plant. Our algorithms provide historical context to how you are performing and provide diagnostic, prescriptive, and predictive information to allow action to address a problem in many cases before it happens.
DnA Examples
Through our commitment to finding meaning in manufacturing data, we have developed specific solutions that can be implemented on top of your existing data set to provide information, context, and insight to adjust your operations to improve efficiency. These solutions include:
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- Process Drift and Errors
- Alert your people to the first signs of problems with your systems weeks or months before you get the dreaded alarm on the issue.
- Cost Calculator
- Show in real time as well as historically your product’s “True Production Cost” considering manpower, ingredient, and energy cost imparts.
- Schedule Optimization
- Optimally balance your production schedule based on how you have historically best run your operations.
- Process Drift and Errors
- Predictive Maintenance
- Predict system failure and address them before they hinder your production.
- Control Loop Prediction
- Reveal how to improve the performance of your PID loops by analyzing how well they react and perform over time.
- Application Specific Analytics
- We develop specific, data driven solutions to business challenges. Let us know the problem and we can provide an Analytics solutions to unlock it.
In today’s manufacturing world we don’t need to collect data for no discernible reason. Today we leverage data through analytics for business return.