Key Insights
Measure
Identify Projects For Big Data Analysis
Analyse
Develop A Case Study Or Example Report
Engage The Client To Ensure The Solution Meets Their Requirements
Execute
Explore Further Ways To Improve The Design At Hand (I.E. OSI Pid)
Finalise The Design
Benchmark The Design Utilising The Appropriate Client Specific Tools
Sustain
Revise And Repeat From “Explore” Onwards Until The Customer Is Satisfied
Our Goal:
To create and develop seed projects in order to present value to the client through efficient and effective analysis of Big Data already available to the business from their existing plants and facilities
Examples of these projects:
- Power metrics analysis & modelling
- Shift Performance Reports
- Virtual Weightometers
- Control Loop Tuning
- Supervisor Dashboards
Our Solution:
Stacey was involved in specifically developing a model to show Equipment OEE Metrics & constraint identification; creating Shift Performance Reports & Equipment constraint analysis for each site as well as a Supervisor Dashboard.
This was all done using data available in the Historian via an OSI PI Interface.
As a developer of these tools, reports and dashboards we have developed extra features along the way which have been more efficient and effective to the project.
E.g. developing a “dynamic” Equipment Driver Tree to provide a better visualisation of the OEE Metrics
Unlocked Potential:
These models, reports and dashboards created not only enable improved controllability of the plants but are all very useful operational tools which enable the business to visualize both recorded and current real time data.
These tools can be used to easily identify key areas of the plant and equipment that need attention and allow the operator to focus on those areas and therefore create value to the business.