336 pages | 117 B/W Illus.
Imagine if your process manufacturing plants were running so well that your production, safety, environmental, and profitability targets were being met so that your subject matter experts could focus on data-driven business improvements. Through proper use and analysis of your existing operations data, your company can become an industry leader and reward your stakeholders.
Written in an engaging and easily understandable manner, this book demonstrates a step-by-step process of how an organization can effectively utilize technology and make the necessary culture changes in order to achieve operational excellence. You will see how several industry leading companies have used an effective real-time data infrastructure for mission-critical business use cases. The book also addresses challenges involved, such as effectively integrating operational (OT) data with business (IT) systems to enable a more proactive, predictive management model for a fleet of process plants.
Some of the things you will take away:
Aimed at engineers, IT professionals, and business management in the process industries, this book guides readers to use the best, results-proven approaches to ensure operational excellence.
1. From a Traditional Strategy to an Industrial Digital Data Infrastructure. 2. On the Path to a Business Process Transformation: Establishing the Operational Excellence Team. 3. Integration of Time and Data - Infrastructure Data Engineering and Analysis = IDEA Strategy. 4. The Human Behind the Data: Visualization and Collaboration. 5. IDEA Strategies for Prevention of Abnormal Situations. 6. IDEA Has Been Around and Successfully Implemented. 7. External Connectivity via the Cloud for Equipment and Processes Remote Support. 8. IDEA Integrated to Business Systems. 9. ProcIndustries Digital Infrastructure Roll Out. 10. Future Directions. Integration With the Communities. Appendix I. Data Treatment (by Pat) and Data Hierarchy. Appendix II. What Is Real Time? Definition of a New Enterprise Data Infrastructure Appendix III. Six Sigma and Process Analytics Tools. Appendix IV. A Digital Plant Transformation Example. Getting Started With an Object Oriented Data Model and Time Context