{"product_id":"digitalization-and-analytics-for-smart-plant-performance-9781119634034","title":"Digitalization and Analytics for Smart Plant","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003eAcknowledgments xvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1 Challenges and Opportunities For Digitalization 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Challenges for Operation Excellence 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 3\u003c\/p\u003e \u003cp\u003e1.2 Operation Activities in a Process Plant 4\u003c\/p\u003e \u003cp\u003e1.3 The Major Challenges Facing the Industries 5\u003c\/p\u003e \u003cp\u003e1.4 The Methodology of Connected Plant 11\u003c\/p\u003e \u003cp\u003e1.5 Digitalization Enabling Connected Plant 12\u003c\/p\u003e \u003cp\u003e1.6 What is the Digitalization Journey? 18\u003c\/p\u003e \u003cp\u003e1.7 Overview of the Book Structure 19\u003c\/p\u003e \u003cp\u003eReferences 21\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Mission of Connected Plant 23\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 What is Connected Plant? 23\u003c\/p\u003e \u003cp\u003e2.2 Major Functions of Connected Plant 24\u003c\/p\u003e \u003cp\u003e2.3 Digital Twins: The Core of Connected Plant 27\u003c\/p\u003e \u003cp\u003e2.4 Conclusions 32\u003c\/p\u003e \u003cp\u003eReferences 33\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Data Analytics for Operation Excellence 35\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 35\u003c\/p\u003e \u003cp\u003e3.2 Process Data Overview: Characteristics and Attributes 37\u003c\/p\u003e \u003cp\u003e3.3 Unique Attributes of Process Data Analytics 39\u003c\/p\u003e \u003cp\u003e3.4 Model Types and Characteristics 40\u003c\/p\u003e \u003cp\u003e3.5 First Principle Modeling and its Characteristics 42\u003c\/p\u003e \u003cp\u003e3.6 Statistic Modeling and its Characteristics 45\u003c\/p\u003e \u003cp\u003e3.7 Optimization Models 47\u003c\/p\u003e \u003cp\u003e3.8 Artificial Intelligence (AI) and Machine Learning (ML) Models 50\u003c\/p\u003e \u003cp\u003e3.9 Put All Together: Digital Twin as a Data Science Platform 55\u003c\/p\u003e \u003cp\u003eReferences 59\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2 Model Thinking For Smart Operations 63\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Statistics Basics 65\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 65\u003c\/p\u003e \u003cp\u003e4.2 Normal Distribution 65\u003c\/p\u003e \u003cp\u003e4.3 Conditional Probability 72\u003c\/p\u003e \u003cp\u003e4.4 Bayes’ Probability 73\u003c\/p\u003e \u003cp\u003e4.5 Statistic Tests 75\u003c\/p\u003e \u003cp\u003eReferences 84\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Advanced Statistic Modeling 85\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 85\u003c\/p\u003e \u003cp\u003e5.2 Distribution Models 85\u003c\/p\u003e \u003cp\u003e5.3 Correlation Models 94\u003c\/p\u003e \u003cp\u003e5.4 Advanced Modeling Techniques 101\u003c\/p\u003e \u003cp\u003e5.5 Data Mining 106\u003c\/p\u003e \u003cp\u003e5.6 Summary 107\u003c\/p\u003e \u003cp\u003eReferences 107\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Rigorous Process Modeling 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 109\u003c\/p\u003e \u003cp\u003e6.2 Reaction Kinetic Modeling 110\u003c\/p\u003e \u003cp\u003e6.3 Reactor Types and Modeling 126\u003c\/p\u003e \u003cp\u003e6.4 Integrated Kinetics and Reactor Modeling 131\u003c\/p\u003e \u003cp\u003e6.5 Catalyst Deactivation Root Causes and Modeling 135\u003c\/p\u003e \u003cp\u003e6.6 Distillation Modeling 136\u003c\/p\u003e \u003cp\u003e6.7 Process System Modeling and Simulation 138\u003c\/p\u003e \u003cp\u003e6.8 Separation Technology Overview 142\u003c\/p\u003e \u003cp\u003eReferences 144\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Linear Optimization Modeling 147\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 147\u003c\/p\u003e \u003cp\u003e7.2 Linear Optimization for Planning 148\u003c\/p\u003e \u003cp\u003e7.3 How to Deal with Nonlinear Terms? 151\u003c\/p\u003e \u003cp\u003e7.4 Delta Vector as Linear Approximation of Nonlinear Yield Models 154\u003c\/p\u003e \u003cp\u003e7.5 Successive Linear Programing (SLP) Approach 159\u003c\/p\u003e \u003cp\u003eReferences 160\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Nonlinear Optimization Modeling 161\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 161\u003c\/p\u003e \u003cp\u003e8.2 Successive Quadratic Programming (SQP) Approach 162\u003c\/p\u003e \u003cp\u003e8.3 Local Versus Global Optimum 162\u003c\/p\u003e \u003cp\u003e8.4 Optimality Conditions 166\u003c\/p\u003e \u003cp\u003e8.5 Nonlinear Process Optimization Model 167\u003c\/p\u003e \u003cp\u003e8.6 Stochastic Programming 171\u003c\/p\u003e \u003cp\u003e8.7 Simulation-Based Optimization 178\u003c\/p\u003e \u003cp\u003e8.8 A Case Study for Process Optimization 180\u003c\/p\u003e \u003cp\u003e8.9 Concluding Remarks 188\u003c\/p\u003e \u003cp\u003eReferences 190\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Process Control and APC Modeling 193\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 193\u003c\/p\u003e \u003cp\u003e9.2 Process Modeling in Control 194\u003c\/p\u003e \u003cp\u003e9.3 Regulatory Control: Managing Individual Variables 207\u003c\/p\u003e \u003cp\u003e9.4 PID Controller Modeling 211\u003c\/p\u003e \u003cp\u003e9.5 Advanced Process Control (APC) 221\u003c\/p\u003e \u003cp\u003eReferences 233\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 AI and Machine Learning Modeling 235\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eAmit Gupta and Frank (Xin X.) Zhu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 235\u003c\/p\u003e \u003cp\u003e10.2 Artificial Neural Networks 235\u003c\/p\u003e \u003cp\u003e10.3 Key Concept in ML: Perceptron 238\u003c\/p\u003e \u003cp\u003e10.4 Machine Learning 242\u003c\/p\u003e \u003cp\u003e10.5 Ml Applications in the Process Industry 246\u003c\/p\u003e \u003cp\u003eReferences 248\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 3 Connected Plant For Smart Operations 251\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Connected Metering and Measurements 253\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eMartin Bragg\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 253\u003c\/p\u003e \u003cp\u003e11.2 Review of Metering Devices 254\u003c\/p\u003e \u003cp\u003e11.3 Connected Metering 258\u003c\/p\u003e \u003cp\u003e11.4 Positive-Unexpected Consequences of the Digital Economy 267\u003c\/p\u003e \u003cp\u003e11.5 The Outlook for Connected Metering 269\u003c\/p\u003e \u003cp\u003e11.6 Conclusions 273\u003c\/p\u003e \u003cp\u003eReferences 274\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Connected Asset and Safety Management 275\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eFrank (Xin X.) Zhu and Tony Downes\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 275\u003c\/p\u003e \u003cp\u003e12.2 Review of Different Maintenance Strategies 276\u003c\/p\u003e \u003cp\u003e12.3 The Concept of Operating Windows 280\u003c\/p\u003e \u003cp\u003e12.4 The Major Gaps in Current Asset Management 283\u003c\/p\u003e \u003cp\u003e12.5 Digitalized Asset Management 284\u003c\/p\u003e \u003cp\u003e12.6 Process Safety Management 290\u003c\/p\u003e \u003cp\u003e12.7 Case Study: APM Drives Capacity Improvement 299\u003c\/p\u003e \u003cp\u003eReference 301\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Integrated Production Planning and Process Control 303\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 303\u003c\/p\u003e \u003cp\u003e13.2 Current Practice in Site-Wide Optimization and Control 304\u003c\/p\u003e \u003cp\u003e13.3 Simultaneous Approach for Site-Wide Optimization and Control 304\u003c\/p\u003e \u003cp\u003e13.4 General Decomposition Strategy 309\u003c\/p\u003e \u003cp\u003e13.5 MPC-Based Integration Approach 314\u003c\/p\u003e \u003cp\u003e13.6 Rigorous Model-Based Integration Approach 322\u003c\/p\u003e \u003cp\u003e13.7 Comparison Between the MPC and Rigorous Model-Based Approaches 324\u003c\/p\u003e \u003cp\u003eReferences 325\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Digitalizing the Energy Management 327\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 327\u003c\/p\u003e \u003cp\u003e14.2 The Concept of Energy Intensity 328\u003c\/p\u003e \u003cp\u003e14.3 Energy Benchmarking for Processes 337\u003c\/p\u003e \u003cp\u003e14.4 The Concept of Key Indicators 340\u003c\/p\u003e \u003cp\u003e14.5 Set Up Targets for Key Indicators 346\u003c\/p\u003e \u003cp\u003e14.6 Economic Evaluation for Key Indicators 350\u003c\/p\u003e \u003cp\u003e14.7 Site-Wide Energy Management Strategy 354\u003c\/p\u003e \u003cp\u003e14.8 Digital Twin for Energy Management 360\u003c\/p\u003e \u003cp\u003e14.9 Establishing Energy Management System 361\u003c\/p\u003e \u003cp\u003eReferences 365\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Integrating the Workflows 367\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eFrank (Xin X.) Zhu and Joe Ritchie\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 367\u003c\/p\u003e \u003cp\u003e15.2 Key Elements of Industrial Supply Chain 368\u003c\/p\u003e \u003cp\u003e15.3 Little Integration of Supply Chain Work Processes 381\u003c\/p\u003e \u003cp\u003e15.4 Gaps Existing in Current Supply Chain Management 382\u003c\/p\u003e \u003cp\u003e15.5 Integrated Work Process for Supply Chain Management 383\u003c\/p\u003e \u003cp\u003e15.6 Supply Chain Digital Twin: One Platform for Workflow Integration and Automation 385\u003c\/p\u003e \u003cp\u003e15.7 Integration of Engineering Models with Supply Chain\u003c\/p\u003e \u003cp\u003eDigital Twin 387\u003c\/p\u003e \u003cp\u003eReferences 388\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Digitalizing the Workforce 389\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eRohan McAdam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 389\u003c\/p\u003e \u003cp\u003e16.2 Enabling the Workforce 390\u003c\/p\u003e \u003cp\u003e16.3 Empowering the Workforce 398\u003c\/p\u003e \u003cp\u003e16.4 Digitalization Challenges 410\u003c\/p\u003e \u003cp\u003e16.5 Summary 416\u003c\/p\u003e \u003cp\u003eReferences 416\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 4 Digital Solutions For Smart Operations 419\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Honeywell Forge: The Platform for Connected Plant 421\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eMatt Burd and Frank (Xin X.) Zhu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Honeywell Forge: A Digital Platform for Connected Plant 421\u003c\/p\u003e \u003cp\u003e17.2 IIoT for Data Infrastructure 421\u003c\/p\u003e \u003cp\u003e17.3 How It Works? 423\u003c\/p\u003e \u003cp\u003e17.4 Intelligent Models Behind Digital Twins in Honeywell Forge 429\u003c\/p\u003e \u003cp\u003e17.5 Cybersecurity 434\u003c\/p\u003e \u003cp\u003eReference 436\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Digital Reediness Assessment and Six-Step Digitalization Journey 437\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 437\u003c\/p\u003e \u003cp\u003e18.2 Digital Readiness Assessment 438\u003c\/p\u003e \u003cp\u003e18.3 The Six-Step Digitalization Journey 449\u003c\/p\u003e \u003cp\u003e18.4 Recommendations: A Digital Transformation Management System 454\u003c\/p\u003e \u003cp\u003e18.5 Establishing a Digital Transformation Management System 455\u003c\/p\u003e \u003cp\u003eReferences 457\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Digital Project Evaluation and Development 459\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction 459\u003c\/p\u003e \u003cp\u003e19.2 Business Case Evaluation 459\u003c\/p\u003e \u003cp\u003e19.3 Digital Project Development Steps 461\u003c\/p\u003e \u003cp\u003e19.4 Remarks on Digital Project Development 465\u003c\/p\u003e \u003cp\u003e19.5 S-Curve for Project Review and Management 469\u003c\/p\u003e \u003cp\u003e19.6 Basics of Economic Analysis 472\u003c\/p\u003e \u003cp\u003eReference 475\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Application Case Studies 477\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction 477\u003c\/p\u003e \u003cp\u003e20.2 Application Cases from Digital Twins 477\u003c\/p\u003e \u003cp\u003e20.3 Applications from Other Digital Projects 481\u003c\/p\u003e \u003cp\u003eReferences 506\u003c\/p\u003e \u003cp\u003eIndex 507\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407105073495,"sku":"9781119634034","price":139.45,"currency_code":"GBP","in_stock":false}],"url":"https:\/\/bookcurl.com\/products\/digitalization-and-analytics-for-smart-plant-performance-9781119634034","provider":"Book Curl","version":"1.0","type":"link"}