Digital Twin Transforming Manufacturing

ICT and Sensor Technology Convergence Drive Opportunities in Smart Factories

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The concept of creating a replica of equipment or a system, or physical asset called digital twin is gaining interest in the manufacturing sector. Technologies such as artificial intelligence, advanced software platforms, communication, big data analytics, and sensors are enabling improvements in efficiency and productivity. Mixed reality, holographic displays, robots, drones, and wearables are also largely driving the IoT trend in factories. A whole new dimension of optimizing performance of industrial assets can be achieved with convergence of advanced information technology, new sensing platforms, and physics based models. Concepts such as Digital Twin can help manufacturing industries improve productivity,

Table of Contents

1.0 Executive Summary1.1 Research Scope 1.2 Research Methodology1.3 Explanation of Research Methodology1.4 Summary of Key Findings1.4 Summary of Key Findings (continued)2.0 Scenario Analysis – Trends, Enabling Technologies, and Adoption Factors2.1 Digital Twin – Brief Overview2.2 Evolution of DT2.3 Segmentation of the Virtual Descriptive World2.4 Digital Twin: Benefits and Use Case 2.5 Step by Step Transformation of Manufacturing using DT: Product Impact2.6 Digital Twin in a Production Line2.7 Factors Driving Adoption2.7 Factors Driving Adoption (continued)2.8 Adoption Barriers2.9 Technology Convergence Leads to Digital Twin3.0 Implementation Examples3.1 Three Types of Digital Twins3.2 ANSYS’ Digital Twin Platform3.3 Hero MotoCorp Digital Twin Project3.4 Veerum Digital Twin Solution for the Oil and Gas industry3.5 Precognize Machine Learning Platforms 3.6 DVN GL Digital Twin for Oil and Gas3.7 Maplesoft and Rockwell Automation – Project Sherlock AI3.8 Key Innovations Shaping the Future3.9 Other Major Players3.10 Businesses Swiftly Managing What-If Scenarios4.0 Strategic Perspectives on Growth Opportunities4.1 Analyst Viewpoint4.2 Should You Opt for Digital Change? Is it Right for You?4.3 What Sort of Skills Companies Need to Acquire to Make the Transition?4.4 What Should Manufacturers Do for a Implementing a Successful Digitized Infrastructure?4.5 What Business Value will Digital Twin Bring to Companies?4.6 Digital Twin is part of the Digital Thread5.0 Key Patents and Contacts5.1 Key Patents on AR and Digital Twin5.2 Key Patents on Machine Learning in Manufacturing Sector5.2 Key Patents on Machine Learning in Manufacturing Sector (continued)5.3 Key Contacts Legal Disclaimer

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