Are you using your data critical enterprise asset effectively? What about using dat value creation Templates?
Are you using layered analytics strategy?
Are integrating Business Processes?
What about integrating Scheduling with Operations (So we can have all about Actuals versus Production Scheduling)?
Are you measuring your hidden losses in production and consumables?
What About calculating your Overall Production Effectiveness?
Have you implemented the follow the money strategy?
Are you teaching your computers to do the linear work?
Are you using a Cookie cutter Approach to accelerate your Digital Transformation Effectiveness
Are using IIOT To get more sensor data, weather data, customer data, machine data, etc...
#DigitalTransformation #AssetEVENTTemplate #OverallProductionEffectiveness #PowerBITemplate #PIVISIONTemplate #ProcessUNITTEmplate
Digital Transformation simply means adapting an organization's strategy and structure to capture opportunities enabled by digital technology.
Computers and communications are faster than ever.
They can fit in your hand or on your wrist.
Sensors embedded in devices and interfaces permit the real time data to flow enabling even more informed decisions and machine driven recommendations.
We share a few strategies to transform unstructured real time data into operational insights and inFORMAtion.
The inFORMAtion is used by people and systems using the latest visualization, analysis and predictive analytics tools.
In the Digital Plant Vision link, we have a few suggestions to accelerate the adoption of VALUE Creation Templates to get the data into people and systems ready to be Acted on.
Data Value Creation Unit using Templates (Business Processes Integration = Actuals versus Planned Production)).
Digital Process Unit Template (Cookie Cutter for Real time Data)
Actuals versus Scheduled Production
Process Units Operational Insights alerts and logs for Running OK, Trouble (missing targets), Idle, Downtime (Unscheduled Downtime) and Maintenance.
Automatic Discovery of Production and Consumables Losses and evaluation in Real Time.
PowerBI Templates for Visualization of Production and Consumables Losses.
PowerBI Cortana answering Questions about the operational results for the whole year.
Microsoft ML Studio using the Running OK Data to generate Predictive Analytics Models that run in PI Analytics,
With all the data available models con be created. Source: (Columbia University)
The key is to use a layered approach as suggested initially.
Neural Networks are a combination Multivariable Linear Networks and Logistics Function (Classifiers)
- Webinar (Recording): Maximizing Yields in 4 Steps – live on Sept 12th, Mining Magazine: https://www.miningmagazine.com/webinars/webinar/1345700/maximizing-metal-recovery-in-4-steps-webinar