Introduction
Advanced analytics enables organizations to transform complex supply chain data into strategic insights. This course dives into predictive modeling, optimization techniques, simulation methods, and data-driven decision frameworks. Participants will learn how to use analytical tools to improve forecasting, inventory optimization, and network design. By the end, learners will apply quantitative techniques to solve real supply chain problems.
Course Objectives
- Apply advanced analytical models
- Use optimization and simulation tools
- Analyze large supply chain datasets
- Build predictive and prescriptive models
- Support strategic decision-making
Target Audience
- Senior analysts
- Supply chain engineers
- Data scientists
- Optimization specialists
- Advanced planners
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1: Advanced Analytics Foundations• Predictive vs prescriptive analytics
• Data modeling concepts
• Statistical modeling review
• Machine learning in supply chains
• Data quality for optimization0 - Day 2: Optimization Methods• Linear programming
• Integer programming
• Multi-objective optimization
• Solver tools
• Case problem exercises0 - Day 3: Simulation Techniques• Discrete-event simulation
• Monte Carlo simulation
• Queueing models
• Scenario analysis
• Stress testing0 - Day 4: Predictive Modeling Applications• Demand prediction models
• Lead time forecasting
• Predictive maintenance
• Inventory risk prediction
• Performance analytics0 - Day 5: End-to-End Optimization Project• Define problem statement
• Build optimization model
• Analyze outputs
• Recommend improvements
• Final presentation0
Instructor
Lessons:
