Introduction
Digital twins allow organizations to simulate and optimize real supply chain systems in a virtual environment. This course teaches participants how to build digital models of warehouses, networks, and production systems. Learners will analyze scenarios, test strategies, and create optimized digital workflows. It focuses on advanced modeling and digitalization.
Course Objectives
- Build digital twin models
- Simulate supply chain scenarios
- Improve operational decision-making
- Integrate real-time data
- Develop digital transformation plans
Target Audience
- Simulation engineers
- Digitalization teams
- Supply chain architects
- Advanced analysts
- Operations strategists
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
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- Day 1: Digital Twin Fundamentals• Digital twin architecture
• Data requirements
• Twin types
• Model accuracy
• Use cases0 - Day 2: Building Simulation Models• System modeling tools
• Object modeling
• Validation and calibration
• Data ingestion
• Simulation testing0 - Day 3: Scenario Experimentation• Sensitivity analysis
• Capacity stress testing
• Routing experiments
• Inventory scenarios
• Failure simulations0 - Day 4: Integrating Real-Time Data• IoT integration
• Real-time dashboards
• Predictive alerts
• Automated responses
• API connectivity0 - Day 5: Digital Twin Project• Build sample twin
• Conduct experiments
• Evaluate results
• Recommend improvements
• Present digital twin0
Instructor
Lessons:
