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Digital Twins

M.S. Krishnan

In this course, learners will be introduced to the concept of Digital Twins, learn how it is applied in manufacturing, and what businesses should consider as they decide to implement this technology. Considerations include information technology infrastructure, the business value of implementing Digital Twins, and what needs to happen across the organization to ensure successful implementation.

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In this course, learners will be introduced to the concept of Digital Twins, learn how it is applied in manufacturing, and what businesses should consider as they decide to implement this technology. Considerations include information technology infrastructure, the business value of implementing Digital Twins, and what needs to happen across the organization to ensure successful implementation.

Learners will hear from industry experts as they share their perspectives on the opportunities and challenges of implementing Digital Twins, how Digital Twins is being implemented in their companies, and insights on the future of this technology within their industry and across manufacturing.

The content presented in this course draws on a number of real-life interviews and case studies, and was created through a partnership with Siemens.

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What's inside

Syllabus

What is a Digital Twin?
Welcome to Digital Twins! This week, you'll learn the basics behind this technology and will be able to describe the applications and and uses for digital twins within a manufacturing setting.
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Digital Twins Platform, Ecosystem, and Business Context
In our second week, we will address the digital twin platform ecosystem and the business context/advantages of digital twins. We'll also review risks and challenges surrounding this technology.
Future Trends and Summary
In our final week, you'll learn about the forecast of future trends for digital twins, learn about a related concept called digital threads, and spend time working through a case project for your final assessment.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills and knowledge highly relevant to the manufacturing industry
Taught by an industry expert and a professor with experience in the field
Offers a hands-on approach through real-life interviews and case studies
In partnership with Siemens, ensuring credibility and access to industry insights
May require additional technical skills for effective implementation
Assumes basic knowledge of manufacturing processes and IT infrastructure

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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 Digital Twins with these activities:
Review Basic Algebra Concepts
Refresh your understanding of basic algebra concepts to strengthen your foundation for digital twin concepts.
Browse courses on Linear Equations
Show steps
  • Review notes and textbooks from previous algebra courses.
  • Solve practice problems to test your understanding.
  • Watch online tutorials or attend workshops on basic algebra.
Solve Digital Twin Simulation Exercises
Enhance your understanding of digital twin applications by solving simulation exercises.
Show steps
  • Access simulation software platforms and tutorials.
  • Follow instructions to create and run digital twin simulations.
  • Analyze simulation results and compare them with real-world data.
Complete a Process Mapping Diagram
This activity will help you understand the process flow of a manufacturing system. You will be able to identify the inputs, outputs, and activities involved in a process.
Browse courses on Process Mapping
Show steps
  • Identify a manufacturing process to map.
  • Gather data on the process.
  • Create a diagram of the process.
  • Identify opportunities for improvement.
Show all three activities

Career center

Learners who complete Digital Twins will develop knowledge and skills that may be useful to these careers:
Project Manager
Project Managers plan, execute, and close projects. They work in a variety of industries, including manufacturing, construction, and healthcare. This course may be useful for Project Managers who want to learn more about Digital Twins and how they can be used to improve the efficiency and effectiveness of projects.
Business Analyst
Business Analysts help businesses improve their performance by identifying and solving problems. They work in a variety of industries, including manufacturing, finance, and healthcare. This course may be useful for Business Analysts who want to learn more about Digital Twins and how they can be used to improve the efficiency and effectiveness of business processes.
Software Engineer
Software Engineers design, develop, and test software applications. They work in a variety of industries, including manufacturing, finance, and healthcare. This course may be useful for Software Engineers who want to learn more about Digital Twins and how they can be used to develop software applications for manufacturing.
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They work in a variety of industries, including manufacturing, finance, and healthcare. This course may be useful for Data Analysts who want to learn more about Digital Twins and how they can be used to collect and analyze data from manufacturing processes.
Product Manager
Product Managers are responsible for the development and launch of new products. They work in a variety of industries, including manufacturing, technology, and retail. This course may be useful for Product Managers who want to learn more about Digital Twins and how they can be used to improve the design and development of new products.
Operations Manager
Operations Managers plan, direct, and coordinate the operations of an organization. They work in a variety of industries, including manufacturing, healthcare, and retail. This course may be useful for Operations Managers who want to learn more about Digital Twins and how they can be used to improve the efficiency and effectiveness of operations.
Consultant
Consultants help businesses improve their performance by providing advice and guidance. They work in a variety of industries, including manufacturing, finance, and healthcare. This course may be useful for Consultants who want to learn more about Digital Twins and how they can be used to help businesses improve their operations.
Mechanical Engineer
Mechanical Engineers design, develop, build, and test mechanical and thermal devices, including tools, engines, and machines. They work in a wide range of industries, including manufacturing, automotive, aerospace, and energy. This course may be useful for Mechanical Engineers who want to learn more about Digital Twins and how they can be used to improve the design and operation of mechanical systems.
Technical Writer
Technical Writers create documentation for technical products and services. They work in a variety of industries, including manufacturing, technology, and healthcare. This course may be useful for Technical Writers who want to learn more about Digital Twins and how they can be used to create documentation for manufacturing products and services.
Industrial Engineer
Industrial Engineers design, improve, and install integrated systems for managing industrial production and operations. They work in a variety of industries, including manufacturing, healthcare, and logistics. This course may be useful for Industrial Engineers who want to learn more about Digital Twins and how they can be used to improve the efficiency and effectiveness of industrial systems.
Manufacturing Engineer
Manufacturing Engineers develop and improve processes for manufacturing products. They work in a variety of industries, including automotive, aerospace, and electronics. This course may be useful for Manufacturing Engineers who want to learn more about Digital Twins and how they can be used to improve the efficiency and effectiveness of manufacturing processes.
Researcher
Researchers conduct research to advance knowledge in a particular field. They work in a variety of settings, including universities, government agencies, and private companies. This course may be useful for Researchers who want to learn more about Digital Twins and how they can be used to conduct research in manufacturing.
Educator
Educators teach students at all levels, from elementary school to university. They work in a variety of settings, including public schools, private schools, and universities. This course may be useful for Educators who want to learn more about Digital Twins and how they can be used to teach students about manufacturing.
Supply Chain Manager
Supply Chain Managers plan, implement, and control the flow of goods and services from suppliers to customers. They work in a variety of industries, including manufacturing, retail, and logistics. This course may be useful for Supply Chain Managers who want to learn more about Digital Twins and how they can be used to improve the efficiency and effectiveness of supply chains.
Sales Engineer
Sales Engineers work with customers to help them understand and select the right products and services for their needs. They work in a variety of industries, including manufacturing, technology, and healthcare. This course may be useful for Sales Engineers who want to learn more about Digital Twins and how they can be used to help customers improve their manufacturing operations.

Reading list

We've selected seven 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 Digital Twins.
Explores the technical aspects of digital twins, including data acquisition, modeling, simulation, and visualization. It provides insights into the challenges and opportunities in implementing digital twins and offers practical guidance for developing and deploying these technologies.
Explores the use of digital twins for cultural heritage preservation. It discusses the application of digital twins for documentation, visualization, and restoration of historical sites and artifacts.
Provides insights into the role of data in smart manufacturing, which is essential for understanding the value of Digital Twins as data-driven representations of physical assets.
Provides a solid foundation in modeling and simulation techniques, which are essential for understanding and designing digital twins. It covers a wide range of topics, including dynamic systems, control systems, and numerical simulation.
While not directly related to Digital Twins, this book provides valuable insights into the process of building and validating a new product or service, which can be applied to the development and implementation of Digital Twins.
As Digital Twins can be viewed as a platform technology, this book provides a comprehensive understanding of platform businesses and their impact on industries and the economy.
This classic work provides a framework for understanding the challenges and opportunities of disruptive technologies, offering valuable insights for organizations considering the implementation of Digital Twins.

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