Operational Planning and Logistics Analytics

Introduction

Please note that this is a preliminary course description. The final version will be published in June 2026.

The " Operations Planning and Logistics Analytics " course provides advanced knowledge and practical skills required for analyzing, optimizing, and strategic/tactical planning of operations and logistics processes. This course is focused on decision-making models, predictive analysis, and optimization techniques applicable to real-world business challenges by employing Microsoft Excel (Excel Solver and Data Analysis add-ins) and utilizing AI-driven analytics.

Course content

• Evaluation of Process Capacity
• Advanced Forecasting Techniques (systematic, causal, time series, static, dynamic)
• Introduction to Decision Making and Optimization
• Comprehensive Production Planning (aggregate, multi-period, MRP, MPS)
• Advanced Inventory Management (continuous/periodic review, cycle stock, discount schemes, service levels, safety inventory, Newsvendor)
• Pricing and Revenue Management (booking limits, dynamic pricing, market segmentation, overbooking)
• Advanced Scheduling Techniques (job-shop, flow-shop, project planning)
• Multi-Criteria Decision-Making Models