Introduction
Inventory optimization ensures the right inventory is available at the lowest possible cost—even in complex, high-variability environments. This course covers multi-echelon inventory optimization (MEIO), service-level modeling, and probabilistic stock strategies. Participants will use advanced tools to balance demand variability, service objectives, and cost constraints. Practical exercises reinforce modeling skills.
Course Objectives
- Apply multi-echelon optimization
- Model service-level tradeoffs
- Optimize safety stock
- Reduce inventory costs
- Improve availability consistency
Target Audience
- Senior inventory planners
- Analysts
- Supply planners
- Demand planners
- Optimization teams
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
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- Day 1: Advanced Inventory Theory• Variability types
• Demand and lead-time modeling
• Service function dynamics
• Cost interactions
• Inventory segmentation0 - Day 2: Safety Stock Engineering• Probabilistic models
• Demand distribution fitting
• Service vs cost curves
• Joint variability
• Advanced safety stock design0 - Day 3: Multi-Echelon Optimization (MEIO)• Multi-level systems
• Dependency modeling
• Network positioning
• Inventory pooling
• MEIO tools0 - Day 4: Optimization Tools & Techniques• Mathematical modeling
• Simulation modeling
• Heuristic algorithms
• Sensitivity analysis
• Model calibration0 - Day 5: Optimization Project• Define inventory problem
• Build optimization model
• Evaluate cost/service output
• Recommended actions
• Project presentation0
Instructor
Lessons:
