Program Overview

Programme Overview

Digital Twins are virtual models that mirror physical objects, processes, or systems, revolutionising industries like manufacturing, logistics, healthcare, and construction. By leveraging AI, predictive analytics, and simulation, digital twins enhance operational efficiency, optimise processes, and improve decision-making.

Key Outcomes

• Build a strong foundational understanding of digital twin technologies
• Understand the scope and applications of digital twins across various industries and functions
• Gain insights into the building blocks, enabling technologies, and implementation steps of digital twins
• Appraise the strategic and operational business value of digital twins, including cost-benefit and ROI analysis
• Design and build a digital twin using low-code or no-code solutions
• Explore the potential of NVIDIA Omniverse for developing immersive, photorealistic 3D digital twins
• Examine the AI-powered future of cognitive digital twins

Programme Modules

Fundamentals of Digital Twins

• What is a Digital Twin? Definitions, history, and evolution
• How do Digital Twins work? Concepts, architecture, and lifecycle
• Types of Digital Twins and their use cases

Introduction to Modelling and Simulation

• Model complex and dynamic real-world business scenarios
• Simulate operational scenarios using Discrete Event, Agent-Based, and System Dynamics simulation techniques
• Run predictive and prescriptive models to evaluate "what-if" scenarios

Enabling Technologies for Digital Twins

• Understand hardware requirements and real-time data integration
• Explore the role of IoT-enabled tracking and sensing technologies
• Introduction to cloud computing, data analytics, and digital infrastructure
• Familiarisation with key platforms: AnyLogic, anyLogistix, and NVIDIA Omniverse

Business Value of Digital Twin Implementation

• Review real-world case studies and success stories
• Identify low-cost implementation pathways for SMEs
• Analyse business use cases and ROI opportunities within your organisation or field
• Align Digital Twin initiatives with broader digital transformation and business strategy
• Prioritise pilot areas for implementation
• Identify and assess potential risks and implementation challenges

Step by Step Digital Twin Development

• Build functional Digital Twin models using low-code or no-code platforms
• Follow a live demonstration of Digital Twin Development
• Follow guided, hands-on steps to create your first Digital Twin model
• Develop an actionable roadmap for initiating or scaling Digital Twin initiatives, including data needs, platform selection, integration considerations, and cost-benefit analysis

Future of Digital Twins

• Explore the evolution from static virtual replicas to bi-directional, real-time, and closed-loop systems
• Understand the integration of AI in Digital Twin development to create Cognitive Digital Twins
• Learn the potential of immersive 3D environments with NVIDIA Omniverse for photorealistic Digital Twins
• Examine emerging policies, regulations, and ethical considerations in Digital Twin development

Programme Details

• Duration & Delivery: Three Days, Online Delivery
• Fees: 1,500 – External Candidates, 1,000 – Current MDX Students and Alumni
• Programme Leader: Dr Sreejith Balasubramanian

Faculty

• Dr Sreejith Balasubramanian: Associate Professor & Chair, Office of Research & Head, Centre for Supply Chain Excellence, MDX Dubai
• Professor Roberto Revetria: University of Genoa
• Michael Wagner: Chief Executive Officer and Managing Director of SyncTwin

Target Audience

• Business professionals
• IT managers
• Consultants
• Digital transformation leads
• Data scientists

Participants should have a basic understanding of business functions and operations and an interest in digital transformation. No prior programming or coding experience is required for this programme.