(9b) A Roadmap to Achieve Operational Excellence through Advanced Data Analytics
Southwest Process Technology Conference
Friday, October 2, 2020 - 2:00pm to 2:15pm
Asset Optimization and Operational performance can be improved significantly by using advanced analytical tools such as Big Data Analytics, IIoT/P, and AI in combination with fundamental models by developing a "Digital Twin".
Ingenero uses the "Digital Twin" approach to identify operational gaps and effective resolution of issues in timely manner to maximize performance. Ingenero's Excellence Through Insight program is successful through combining the right information with in-depth domain expertise and deep data analytics to generate predictive and prescriptive recommendations presented in customized visual displays and dashboards for intelligent decision making.
The success of the process requires the appropriate volume of data. Post collection and mining of data, tools are used for effective reconciliation, validation and consolidation of data to gain insights quickly. This information is utilized as an input for machine learning models and these models convert the raw information into useful statistics/analytics that maximize asset effectiveness.
This paper will discuss the Digitalization process utilizing fundamental models combined with data analytics techniques to achieve operational excellence. The appropriate techniques, tools and equipment models that are applied to track the performance and identify the size of deviation and improvement opportunities on real-time basis will be discussed. Additionally, the paper will describe how predictive and prescriptive analytics can help determine the impact of deviation, need for corrective action and assist in reaching challenging solutions.
The Industry 4.0 Digitalization initiative is driving industry specific advanced analytics to leverage both historic and real-time data to achieve improvements that are difficult to accomplish using traditional approaches. Substantial economic gains can be achieved when data analytics is coupled with the overall plant operating strategy.
This paper will cover some of case studies, to demonstrate on how Manufacturers were able to improve their Overall Plant Performance and Capacity by 5 - 15%.
This paper has an Extended Abstract file available; you must purchase the conference proceedings to access it.
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