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Descripción

A Systems Approach to Managing the Complexities of Process Industries discusses the principles of system engineering, system thinking, complexity thinking and how these apply to the process industry, including benefits and implementation in process safety management systems. The book focuses on the ways system engineering skills, PLM, and IIoT can radically improve effectiveness of implementation of the process safety management system.

Covering lifecycle, megaproject system engineering, and project management issues, this book reviews available tools and software and presents the practical web-based approach of Analysis & Dynamic Evaluation of Project Processes (ADEPP) for system engineering of the process manufacturing development and operation phases. Key solutions proposed include adding complexity management steps in the risk assessment framework of ISO 31000 and utilization of Installation Lifecycle Management. This study of this end-to-end process will help users improve operational excellence and navigate the complexities of managing a chemical or processing plant.

  • Presents a review of Operational Excellence and Process Safety Management Methods, along with solutions to complexity assessment and management
  • Provides a comparison of the process manufacturing industry with discrete manufacturing, identifying similarities and areas of customization for process manufacturing
  • Discusses key solutions for managing the complexities of process manufacturing development and operational phases

1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Acknowledgments - p. xi 6. Chapter 1. Perspective - p. 1 7. Chapter 2. Fundamentals of Systemic Approach - p. 83 8. Chapter 3. Fundamentals of the Complexity - p. 181 9. Chapter 4. System Engineering of the Complex Megaprojects - p. 221 10. Chapter 5. Modeling and Simulation: The Essential Tools to Manage the Complexities - p. 279 11. Abstract - p. 279 12. 5.1 Background - p. 279 13. 5.2 Evolution of Web Technology - p. 282 14. 5.3 Evolution of IIoT - p. 287 15. 5.4 Open Platform Communications (OPC) - p. 298 16. 5.5 Big Data Management - p. 305 17. 5.6 Cloud Computing - p. 312 18. 5.7 Fog Computing - p. 314 19. 5.8 Cyber Security Risk Management - p. 315 20. 5.9 Model-Based System Engineering (MBSE) - p. 323 21. 5.10 Application Lifecycle Management - p. 336 22. 5.11 Product Lifecycle Management - p. 337 23. 5.12 Multiphysics - p. 341 24. 5.13 “Frontloading” Simulation Results in Optimized Products - p. 344 25. 5.14 Virtual Reality - p. 345 26. 5.15 MBSE for Process Manufacturing - p. 350 27. 5.16 Application of ILM to Create the Process Safety Management Framework - p. 376 28. 5.17 Conclusion (Conclusion of the Book) - p. 403 29. Literature - p. 404 30. Blog - p. 404 31. Handbook - p. 404 32. Standards - p. 406 33. Guidance - p. 406 34. Software - p. 407 35. Tutorials & Learning Materials (All Chapters) - p. 407 36. Associations - p. 409 37. Industrial Internet of Things (IIoT) Glossary - p. 411 38. Index - p. 415

Descripcion
Descripción

A Systems Approach to Managing the Complexities of Process Industries discusses the principles of system engineering, system thinking, complexity thinking and how these apply to the process industry, including benefits and implementation in process safety management systems. The book focuses on the ways system engineering skills, PLM, and IIoT can radically improve effectiveness of implementation of the process safety management system.

Covering lifecycle, megaproject system engineering, and project management issues, this book reviews available tools and software and presents the practical web-based approach of Analysis & Dynamic Evaluation of Project Processes (ADEPP) for system engineering of the process manufacturing development and operation phases. Key solutions proposed include adding complexity management steps in the risk assessment framework of ISO 31000 and utilization of Installation Lifecycle Management. This study of this end-to-end process will help users improve operational excellence and navigate the complexities of managing a chemical or processing plant.

  • Presents a review of Operational Excellence and Process Safety Management Methods, along with solutions to complexity assessment and management
  • Provides a comparison of the process manufacturing industry with discrete manufacturing, identifying similarities and areas of customization for process manufacturing
  • Discusses key solutions for managing the complexities of process manufacturing development and operational phases

1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Acknowledgments - p. xi 6. Chapter 1. Perspective - p. 1 7. Chapter 2. Fundamentals of Systemic Approach - p. 83 8. Chapter 3. Fundamentals of the Complexity - p. 181 9. Chapter 4. System Engineering of the Complex Megaprojects - p. 221 10. Chapter 5. Modeling and Simulation: The Essential Tools to Manage the Complexities - p. 279 11. Abstract - p. 279 12. 5.1 Background - p. 279 13. 5.2 Evolution of Web Technology - p. 282 14. 5.3 Evolution of IIoT - p. 287 15. 5.4 Open Platform Communications (OPC) - p. 298 16. 5.5 Big Data Management - p. 305 17. 5.6 Cloud Computing - p. 312 18. 5.7 Fog Computing - p. 314 19. 5.8 Cyber Security Risk Management - p. 315 20. 5.9 Model-Based System Engineering (MBSE) - p. 323 21. 5.10 Application Lifecycle Management - p. 336 22. 5.11 Product Lifecycle Management - p. 337 23. 5.12 Multiphysics - p. 341 24. 5.13 “Frontloading” Simulation Results in Optimized Products - p. 344 25. 5.14 Virtual Reality - p. 345 26. 5.15 MBSE for Process Manufacturing - p. 350 27. 5.16 Application of ILM to Create the Process Safety Management Framework - p. 376 28. 5.17 Conclusion (Conclusion of the Book) - p. 403 29. Literature - p. 404 30. Blog - p. 404 31. Handbook - p. 404 32. Standards - p. 406 33. Guidance - p. 406 34. Software - p. 407 35. Tutorials & Learning Materials (All Chapters) - p. 407 36. Associations - p. 409 37. Industrial Internet of Things (IIoT) Glossary - p. 411 38. Index - p. 415

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