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Digitalization and Analytics for Smart Plant Performance: Theory and Applications [Hardcover]

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  • Category: Books (Technology & Engineering)
  • Author:  Zhu, Frank (Xin X.)
  • Author:  Zhu, Frank (Xin X.)
  • ISBN-10:  1119634032
  • ISBN-10:  1119634032
  • ISBN-13:  9781119634034
  • ISBN-13:  9781119634034
  • Publisher:  Wiley-AIChE
  • Publisher:  Wiley-AIChE
  • Pages:  544
  • Pages:  544
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Oct-2021
  • Pub Date:  01-Oct-2021
  • SKU:  1119634032-11-MPOD
  • SKU:  1119634032-11-MPOD
  • Item ID: 105810565
  • List Price: $200.95
  • Seller: ShopSpell
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  • Delivery by: Sep 28 to Sep 30
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This book addresses the topic of integrated digitization of plants on an objective basis and in a holistic manner by sharing data, applying analytics tools and integrating workflows via pertinent examples from industry. It begins with an evaluation of current performance management practices and an overview of the need for a Connected Plant via digitalization followed by sections on Connected Assets: Improve Reliability and Utilization, Connected Processes: Optimize Performance and Economic Margin and Connected People: Digitalizing the Workforce and Workflows and Developing Ownership and Digital Culture, then culminating in a final section entitled Putting All Together Into an Intelligent Digital Twin Platform for Smart Operations and Demonstrated by Application cases.

Preface xiii

Acknowledgments xvii

Part 1 Challenges and Opportunities For Digitalization 1

1 Challenges for Operation Excellence 3

1.1 Introduction 3

1.2 Operation Activities in a Process Plant 4

1.3 The Major Challenges Facing the Industries 5

1.4 The Methodology of Connected Plant 11

1.5 Digitalization Enabling Connected Plant 12

1.6 What is the Digitalization Journey? 18

1.7 Overview of the Book Structure 19

References 21

2 Mission of Connected Plant 23

2.1 What is Connected Plant? 23

2.2 Major Functions of Connected Plant 24

2.3 Digital Twins: The Core of Connected Plant 27

2.4 Conclusions 32

References 33

3 Data Analytics for Operation Excellence 35

3.1 Introduction 35

3.2 Process Data Overview: Characteristics ló2

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