Digital Industries

Introduction to Digital Twin

Course description

The course is designed for managers and professionals who want to understand how Digital Twins can become a real tool for competitiveness and innovation in the industrial context. Starting from a clear introduction to the evolution of industrial revolutions up to Industry 5.0, the course guides participants in discovering the concept of Digital Twin, delving into its history, the differences between Digital Twin, Digital Shadow, and Digital Thread, and explaining why it represents a strategic lever to monitor, simulate, and optimize complex processes in a data-driven way. Through practical examples, real use cases, and an overview of organizational and cultural prerequisites, participants will acquire the tools to recognize the managerial advantages of a Digital Twin, assess its actual feasibility, understand its limitations and challenges, and build a sustainable adoption roadmap. The approach is practical and business-oriented: at the end of the course, decision makers will have a clear vision of how to initiate or support Digital Twin projects in their company, even without specialized technical knowledge, promoting a conscious data culture and more effective information management to support decisions.

Main Topics

The course is structured as follows:

  • History and evolution of the Digital Twin: from the first NASA simulations to its spread in Industry 4.0 and 5.0
  • Conceptual differences: Digital Twin vs Digital Shadow vs Digital Thread
  • Simplified architecture: basic elements, physical asset, virtual model, real-time data connection
  • Managerial advantages and benefits: process optimization, predictive maintenance, data-driven decision support, cost reduction
  • Data quality and data culture: fundamental characteristics, collection, governance, and cases where a data-driven approach is suitable or not
  • Practical operation: objectives, key metrics, essential tools, and output of a digital twin
  • Concrete use cases: industrial examples (plants, smart cities, vehicle fleets, assembly lines)
  • Organizational challenges and roadmap: barriers, precautions, validation, best practices, and checklist to get started

Participant profile

The course is recommended for managers and professionals.

Objectives

The course aims to provide participants with a solid understanding of the principles and potential of Digital Twins as a strategic tool for industrial innovation. It aims to develop the ability to:

  • Recognize when and why to introduce a Digital Twin to monitor, simulate, or optimize complex processes.
  • Understand the differences between Digital Twin, Digital Shadow, and Digital Thread and contextualize them within Industry 4.0 and 5.0.
  • Identify the organizational, technological, and cultural prerequisites for conscious and sustainable adoption.
  • Evaluate the main use cases and interpret key metrics to measure the effectiveness of a data-driven approach.
  • Develop a mindset oriented towards data management as a lever for more informed decisions and more efficient processes.
  • Contribute to defining roadmaps and best practices to initiate or support Digital Twin projects in the company.

Learning outcomes

At the end of the course, participants will be able to:

  • Understand what a Digital Twin is, how it differs from a Digital Shadow and a Digital Thread, and what strategic role it plays in the evolution towards Industry 4.0 and 5.0.
  • Recognize the key elements of a Digital Twin architecture, with particular attention to the connection between physical asset, virtual model, and real-time data flow.
  • Evaluate the managerial advantages of a data-driven approach, identifying concrete opportunities to monitor, simulate, and optimize complex processes.
  • Analyze the prerequisites related to data quality, data culture, and governance necessary to develop sustainable projects.
  • Identify relevant objectives and metrics to measure the effectiveness of a Digital Twin in real scenarios.
  • Identify applicable use cases in your organizational context, considering challenges, limitations, and success factors.
  • Contribute to defining a realistic adoption roadmap, promoting an innovation-oriented mindset and conscious data management.

Participation conditions

No prior knowledge is required.

Cost per participant

€300

Participants

Min 5

Resources available from PNRR funds, Mission 4 – Component 2 – Investment 2.3:

Grants up to 100%

Cost per company

1499 €

Participants

Max 15 per company

Mode

Online

Duration

12 hours

Level

Introductory

Trainer

CIM

At the end of each course, you will receive a certificate of participation issued by the CIM4.0 Competence Center.
As an implementing body for digital transition, CIM4.0 holds the accreditation certificate from the Piedmont Region for the provision of continuous training. Certificate No.: 1503/001

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