Modern supply chains are becoming increasingly complex, global, and interconnected. The demands of customers, rapid technological advancement, shifting procurement dynamics, and heightened regulatory requirements have created new challenges that require both innovation and adaptability. To maintain a competitive edge, organizations must embrace advanced analytics, technology-driven models, and proactive design approaches that allow them to improve optimization, efficiency, collaboration, resilience, compliance, and sustainability.
One of the most powerful tools to emerge in recent years is the concept of the digital twin. A digital twin is a dynamic, virtual model that mirrors the real-world supply chain in real time. It integrates data from procurement, logistics and supply chain operations, production, and distribution, combining technology and analytics to simulate processes, test scenarios, and predict future outcomes. By adopting digital twins, organizations can anticipate risks, model procurement strategies, evaluate sustainability initiatives, and enhance compliance across multiple levels of their supply chains.
This program, delivered by Oxford Training Centre (OTC), equips professionals with the expertise needed to design, implement, and manage digital twins in supply chain organizations. The course blends theory with practical applications, providing participants with tools to improve operational optimization, build resilience, ensure regulatory compliance, and integrate sustainability into strategic supply chain design. Through lectures, discussions, and interactive exercises, participants will gain the knowledge to transform their organizations using technology and analytics in ways that elevate performance and sustainability.
Objective
By the end of this course, participants will be able to:
- Define digital twins and understand their role in supply chain design.
- Use analytics and technology to build digital twin models for optimization and efficiency.
- Integrate procurement and supplier data into digital twin simulations.
- Foster collaboration across cross-functional supply chain teams using shared platforms.
- Enhance resilience through scenario planning and disruption modeling.
- Ensure compliance with trade, regulatory, and procurement requirements using digital twins.
- Embed sustainability principles into supply chain design, ensuring long-term performance.
- Develop practical strategies for adopting digital twin technology in real-world supply chain organizations.
Target Audience
This program is suitable for professionals across industries who are involved in designing, managing, or optimizing supply chains. It is particularly relevant for:
- Supply chain managers and planners aiming to integrate digital twin design into strategy.
- Procurement and sourcing specialists who want to strengthen vendor management and optimize supplier networks using digital twin technology.
- Logistics and operations managers tasked with improving efficiency and resilience.
- Technology and analytics professionals working on supply chain data integration and predictive modeling.
- Risk and compliance officers ensuring adherence to regulatory frameworks and procurement standards.
- Sustainability managers and leaders embedding sustainability across the supply chain.
- Executives and decision-makers exploring technology adoption to improve supply chain optimization and sustainability.
Course Modules
Module 1: Foundations of Digital Twins in Supply Chains
- Definition, history, and evolution
- Importance in modern logistics and supply chain systems
- Key drivers for adoption
Module 2: Technology and Analytics for Digital Twins
- Role of advanced analytics and AI
- Integrating IoT and real-time data
- Simulation and scenario modeling tools
Module 3: Procurement and Supplier Integration
- Embedding procurement data in digital twins
- Supplier performance monitoring
- Vendor risk management and optimization
Module 4: Logistics and Operations Optimization
- Using digital twins for logistics and supply chain planning
- Inventory and distribution management
- Enhancing efficiency and responsiveness
Module 5: Risk, Compliance, and Resilience
- Disruption modeling and scenario planning
- Ensuring compliance with trade and regulatory frameworks
- Strengthening resilience through predictive insights
Module 6: Sustainability and Long-Term Performance
- Embedding environmental and social sustainability principles
- Evaluating carbon footprint in supply chain operations
- Designing green and resilient supply chains
Module 7: Strategy and Practical Adoption
- Building a roadmap for digital twin adoption
- Overcoming barriers to implementation
- Case studies and industry applications