DRAFT A Digital Plant Vision for Increasing Value using a Real Time Data Infrastructure v7.pdf

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This is an example to create a Production Model of a Process Plant to analyze the performance of every unit by operating mode (Production, Energy, Water and Consumables in general).



The alignment to resolve business processes is the key for continuous improvement, innovation and increased profitability.  This strategy describes a digital transformation strategy.

There are many pressures that the process industries are facing: increased environmental and safety governmental regulation, increased energy, water and air usage to process more complicated natural resources.

Whatever the issue, the answer is in the abundant and growing quantity of real time data and events collected from process operations in a process plant. A strategy is needed to quickly and efficiently transform
the data and extract the necessary insights that will enable operations/maintenance/management to investigate issues and opportunities to improve bottom line results.

The strategy accelerates the configuration of production and consumables data and makes it easy maintain the PI system.  The alignment to a business process Production Reduce variance while aggregating the operating costs (Consumables are aggregated based on critical operational modes (Running, Trouble, Idle, Down and Maintenance).

The Information can be published in the MS Azure into Power BI in dashboard for every personal consumption.
It can be self-tailor for an overall Production Effectiveness or by specific disciplines such as Management, Operations, Maintenance and Planning.
Benchmarking by unit, mode and losses. The created dataset can be used to find insights and for predictive analytics using machine learning tools.  This strategy lowers the bar for integrating the planning and execution goals.

Oil Refinery Excel Diagram Capture.JPGNew Oil RefineryProduction with and without OPeMode Analysis Capture.JPG