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Dr. Yuk Ming Tang, Dr. Gary Tsui, and Dr. Ka Man Lee

In the fourth industrial revolution, the digital twin is one of the critical technologies that is gaining prominence. The digital twin is the simulation technology that integrates multidisciplinary, multi-physical quantities, multi scales, and multi-probabilities by making full use of a physical model, sensor update, operation history, and other data. During this course, learners will engage in how to create digital twins and utilize them to model, simulate, and manage industrial processes. Digital twins give information on every component of a manufacturing process, allowing you to improve the efficiency and efficacy of your production line and equipment. It may be used to monitor, study, and analyze physical assets like buildings, processes, and systems, as well as to conduct research and development.

What's inside

Learning objectives

  • • what are the digital twins and their types
  • • characteristics of digital twin technology
  • • applications of digital twins in different industries and sectors
  • • implementation and deployment of the digital twin
  • • future development of digital twins and cyber-physical systems

Syllabus

Module 1: What is a Digital Twin?
Introduction to technologies, applications, opportunities, and challenges influencing digital twin
Module 2: Manufacturing and Production
Read more
Introduction to the impact of the digital twin, cyber-physical systems, process automation and optimization, predictive maintenance and anomaly detection on the manufacturing ecosystem and its application
Module 3: Supply Chain and Warehousing
Introduction to digital twin-based operation and management, and simulation-based smart supply chain ecosystem, including quality assurance in the food and beverage sector, warehousing with machine learning and path planning, and warehousing with machine learning and pallet loading
Module 4: Healthcare
Introduction to healthcare and bioengineering applications of digital twins. The bioprocess and its potential, industrial-scale bioreactors and biomanufacturing, hospital administration in industry 4.0, epidermic control prediction, and cloud computing for radiotherapy systems are covered.
Module 5: Conclusions
Discussion on the fundamental characteristics and applications of digital twins, the future of digital twins and forecast for industrial 5.0.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Helps learners develop skills that are highly relevant in an academic setting as industries have come to rely on the use of digital twins to model, simulate, and manage industrial processes
Guides learners throughout course modules to create and use digital twins using modeling, simulation, and management as a topic of key focus
Introduces a valuable technology in the digital twin and explores its characteristics, applications, future development, and implementation
Applies real-world applications to its course content with examples from manufacturing and healthcare sectors
Taught by experts in the field of digital twin technology

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Digital Twin and Applications with these activities:
Review and Organize Course Materials
Staying organized is essential for success in any course. In this activity, you will compile and organize all of the course materials in one place.
Show steps
  • Gather all of the course materials
  • Create a system for organizing the materials
  • Review the materials regularly
Understand the Basics of Digital Twins
Digital twins are the backbone of this course. Having a fundamental understanding of what they are and their benefits will help you better navigate the upcoming modules.
Browse courses on Digital Twins
Show steps
  • Review introductory document on digital twin basics
  • Watch a short video on the applications of digital twins
  • Summarize your learnings in a short paragraph
Review prerequisite concepts in computer science
Digital twin development depends on skills in computer science. Taking a refresher course or practicing some computer science problems will strengthen your foundational knowledge.
Browse courses on Computer Science
Show steps
  • Go over notes from previous computer science courses
  • Practice solving programming problems on platforms like LeetCode
Five other activities
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Show all eight activities
Explore Digital Twin Applications in Healthcare
Healthcare applications of digital twins are a rapidly growing field. This activity will expose you to some of the latest advancements.
Browse courses on Personalized Medicine
Show steps
  • Research a specific healthcare application of digital twins
  • Find a tutorial on how to implement that application
  • Follow the tutorial and build a simple digital twin application
Attend Digital Twin Workshops and Training Sessions
Expand your knowledge and skills by attending workshops and training sessions focused on digital twin technologies.
Show steps
  • Identify workshops or training sessions related to digital twins.
  • Register for the workshop or training session.
  • Attend the workshop or training session, actively participate, and ask questions.
Practice Manufacturing Process Optimization
Optimizing manufacturing processes with digital twins is a central theme of the course. This activity will help you solidify these concepts.
Browse courses on Process Automation
Show steps
  • Identify a real-world manufacturing process
  • Create a digital twin of the process
  • Use the digital twin to identify inefficiencies
  • Propose solutions to optimize the process
  • Evaluate the impact of your optimizations
Design a Digital Twin for a Supply Chain
In this hands-on activity, you will design and build your own digital twin for a supply chain. This will help you understand the challenges and benefits of using digital twins in real-world scenarios.
Browse courses on Supply Chain Management
Show steps
  • Choose a specific supply chain to focus on
  • Identify the key data sources for your digital twin
  • Design the architecture of your digital twin
  • Develop and implement your digital twin
  • Test and evaluate your digital twin
Follow Digital Twin technology advancements
Stay up-to-date with the latest developments and trends in digital twin technologies by following industry news and research.
Show steps
  • Subscribe to industry publications and blogs related to digital twins.
  • Follow thought leaders and experts on social media.
  • Attend webinars or online presentations on emerging digital twin technologies. (optional)

Career center

Learners who complete Introduction to Digital Twin and Applications will develop knowledge and skills that may be useful to these careers:
Industrial Engineer
Industrial Engineers improve the efficiency and effectiveness of industrial processes. They design and implement systems and processes that optimize the use of resources, such as people, machines, and materials. This course helps Industrial Engineers build a foundation in digital twin technology, which is a critical technology in the fourth industrial revolution. By understanding how to create and utilize digital twins, Industrial Engineers can better design and implement systems and processes that optimize the use of resources.
Systems Engineer
Systems Engineers design, develop, and maintain complex systems. They work with engineers, scientists, and other professionals to develop and improve systems. This course helps Systems Engineers build a foundation in digital twin technology, which is a critical technology in the fourth industrial revolution. By understanding how to create and utilize digital twins, Systems Engineers can better design, develop, and maintain complex systems.
Digital Transformation Manager
Digital Transformation Managers lead organizational initiatives to adopt new technologies and processes. They bridge the gap between business strategy and technical execution, often managing large, complex projects. This course helps Digital Transformation Managers build a foundation in digital twin technology, which is a critical technology in the fourth industrial revolution. By understanding how to create and utilize digital twins, Digital Transformation Managers can better plan and implement digital transformation initiatives.
Research and Development Engineer
Research and Development Engineers design and develop new products and processes. They work with scientists, engineers, and other professionals to develop and improve products and processes. This course helps Research and Development Engineers build a foundation in digital twin technology, which is a critical technology in the fourth industrial revolution. By understanding how to create and utilize digital twins, Research and Development Engineers can better design and develop new products and processes.
Operational Research Analyst
Operational Research Analysts use mathematical and statistical models to analyze and improve operational processes. They work with businesses to identify and solve problems, develop strategies, and implement change. This course helps Operational Research Analysts build a foundation in digital twin technology, which is a critical technology in the fourth industrial revolution. By understanding how to create and utilize digital twins, Operational Research Analysts can better analyze and improve operational processes.
Process Engineer
Process Engineers design and implement manufacturing processes. They work with engineers, scientists, and other professionals to develop and improve products and processes. This course helps Process Engineers build a foundation in digital twin technology, which is a critical technology in the fourth industrial revolution. By understanding how to create and utilize digital twins, Process Engineers can better design and implement manufacturing processes.
Quality Assurance Manager
Quality Assurance Managers develop and implement quality assurance programs to ensure that products and services meet customer requirements. They work with cross-functional teams to identify and mitigate risks, and to ensure that products and services are safe, reliable, and effective. This course helps Quality Assurance Managers build a foundation in digital twin technology, which is a critical technology in the fourth industrial revolution. By understanding how to create and utilize digital twins, Quality Assurance Managers can better develop and implement quality assurance programs.
Enterprise Architect
Enterprise Architects design and implement technology solutions that support an organization's business goals. They work with business leaders and IT professionals to ensure that technology investments align with the organization's strategic objectives. This course helps Enterprise Architects build a foundation in digital twin technology, which is a critical technology in the fourth industrial revolution. By understanding how to create and utilize digital twins, Enterprise Architects can better design and implement technology solutions that support the organization's business goals.
Robotics Engineer
Robotics Engineers design, build, and maintain robots. They work with engineers, scientists, and other professionals to develop and improve robots. This course helps Robotics Engineers build a foundation in digital twin technology, which is a critical technology in the fourth industrial revolution. By understanding how to create and utilize digital twins, Robotics Engineers can better design, build, and maintain robots.
IT Manager
IT Managers plan, organize, and control the IT resources of an organization. They work with business leaders to ensure that IT systems and services align with the organization's strategic objectives. This course helps IT Managers build a foundation in digital twin technology, which is a critical technology in the fourth industrial revolution. By understanding how to create and utilize digital twins, IT Managers can better plan and manage IT resources.
Product Manager
Product Managers are responsible for the planning, development, and launch of new products and services. They work with cross-functional teams to ensure that products meet customer needs and business objectives. This course helps Product Managers build a foundation in digital twin technology, which is a critical technology in the fourth industrial revolution. By understanding how to create and utilize digital twins, Product Managers can better plan, develop, and launch new products and services.
Business Analyst
Business Analysts identify inefficiencies and stumbling blocks in order to improve the outcome of a project or business process. They leverage data integration and analysis, which this course can help build a foundation for, to help make projections and predictions for a wide range of scenarios. This course teaches how to create and utilize digital twins for modeling, simulation, and management of industrial processes, which Business Analysts can use to assess performance and develop actionable insights.
Data Scientist
Similar to Data Analysts, Data Scientists translate numerical trends into understandable data. They leverage statistical and machine learning models and algorithms to improve products and services. This course helps Data Scientists build a foundation in data integration and analysis by teaching how to create and utilize digital twins for modeling, simulation, and management of industrial processes.
Management Consultant
Management Consultants help organizations improve their performance. They work with clients to identify and solve problems, develop strategies, and implement change. This course helps Management Consultants build a foundation in digital twin technology, which is a critical technology in the fourth industrial revolution. By understanding how to create and utilize digital twins, Management Consultants can better help clients improve their performance.
Data Analyst
Data Analysts mine large, complex datasets to translate numerical trends into understandable data in order to identify business opportunities and enhance decision-making. The tasks Data Analysts perform are deeply rooted in data integration and analysis, which is an important component of this course. By taking this course, Data Analysts can enhance their skills in simulating and managing industrial processes by leveraging digital twins.

Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Digital Twin and Applications.
Introduces the latest industrial technologies, provides a solid background of digital twin, and teaches the learners how to leverage digital twins for value.
Provides a comprehensive overview of cyber-physical systems, which are closely related to digital twins. It covers topics such as modeling, analysis, and control of cyber-physical systems.
Provides a comprehensive overview of cyber-physical systems, covering their design, analysis, modeling, and applications. It valuable resource for anyone who wants to learn more about the fundamental principles of CPS.

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