Josef Svoboda, M.Sc.

Master Theses:

• Data-Driven Inventory Optimization in Multi-Echelon Supply Chains (with Celonis)
• Supply Chain Segmentation with Machine Learning
• Data-Driven Forecasting in Inventory Management
• Influence of supply chain visibility on parts availability in the spare parts business (in cooperation with Barkawi Management Consulting)
• Optimal inventory management and replenishment strategies of a retailer for perishable goods considering seasonalities of fruits and vegetables
• Roll-Container vs. Euro-Palette: Analyse der Auswirkung einer Einführung eines neuen Ladungsträgers auf die Filialdistribution unter Berücksichtigung der zukünftigen Sortimentsentwicklung (in cooperation with ALDI SÜD)
• Simulation Optimization of Inventory Management Policies in Multi-Echelon Distribution Systems Customer Order Patterns and Optimal Inventory Management (with Load Fox)
• Clustering and Inventory Control in Large-Scale Supply Chain Networks
• Value of Information in Inventory Control
• Data-Driven Optimization for Improving Supply Chain Resilience (with Procter & Gamble)
• Inventory Control Parameter Optimization within DD-MRP (with BSH Home Appliances)

Bachelor Theses:

• MIP-Based Backorder Allocation Rules in Distribution Systems
• Demand Driven vs. Consumption Driven Inventory Management (with Voith)
• Machine Learning in Material Planning (with Faurecia)
• Multiple Sourcing Policies in Inventory Management
• Machine Learning in Inventory Management (with Keller&Kalmbach)
• Supply Chain Segmentation and Inventory Management (in cooperation with Thorlabs)
• Key Performance Indicators in Retail Logistics
• Simulating Demand in Multi Echelon Inventory Systems
• Additive Manufacturing in Multi Echvelon Spare Parts Supply Chains
• Data-Driven Optimization in Multi-Echelon Supply Chains (with Barkawi Management Consulting)
• Data-and feature-driven inventory control policies
• Sampling Representative Training Data for Machine Learning Models in Inventory Control
• Inventory Managenemt of perishable, seasonal products

Project Studies:

• Blockchain Technology: Application in Logistics (in cooperation with Wassermann AG)
• Inventory Management of perishable goods considering seasonal supply and supplier change
• Spare Parts Management for Munichs Subway Operations (in cooperation with SWM)
• Plattform-basiertes ad Hoc Pricing in der luftfracht (in cooperation with Panalpina)
• 3D Printing in Spare Part Supply Chains (with EOS)