Led a comprehensive analysis of inventory management processes at UAB “Vilniaus Pakuotė”, one of Lithuania’s leading packaging manufacturers, to optimize their raw material handling systems. Through rigorous quantitative analysis of historical warehouse data, I developed a mathematical model combining service level metrics, economic ordering quantity (EOQ), and reorder point calculations.
My analysis revealed some surprising opportunities. The model showed we could improve service levels by 17% without increasing inventory costs – something management thought impossible. By optimizing order timing and quantities, we could cut the number of orders in half while actually improving material availability. This meant less paperwork (pun somewhat intented), fewer emergency orders, and happier workers.
Key achievements of the research project:
- Identified potential for 17% service level improvement while maintaining existing inventory costs through implementation of optimized ordering policies
- Designed a data-driven framework that reduced order frequency by 50-60% while improving inventory turnover metrics
- Developed and validated mathematical models using Excel Solver for multi-variable optimization of inventory parameters
Full paper available upon request: tomas@siurna.lt