Paolo Minnozzi

• Implemented Sales & Operations Planning process to synchronize external demand with internal capacity to meet the expected supply chain responsiveness and efficiency • Designed and executed planning strategies, in collaboration with Purchasing and Operations • Optimized stock policies and managed inventory levels for raw material, semi-finished components and end items • Analysed and monitored Supply Chain performance at the Group level, identifying key areas for process improvement

• Managed production planning, scheduling and control, inbound and internal logistics • Performed data analysis and established KPI reporting systems for production and supply chain processes • Drove Continuous Improvement projects within the production plant (eg: MES implementation project) • Spearheaded the design and end-to-end implementation of the Production Planning function, where no formal planning processes previously existed, transitioning operations from a reactive "on-demand" model to a structured, data-driven production plan

• Optimized and managed workflow processes and procedures for a Gas & Power sales company in Torino and San Donato Milanese • Developed a predictive model for sales and replenishment needs for an important food retail company headquartered in Pioltello

Developed a stochastic optimization model to solve production scheduling problems under high demand uncertainty, in collaboration with the University of Oklahoma.in collaboration with Prof. Suleyman Karabuk (Industrial & Systems Engineering department, The University of Oklahoma).

MS Thesis: "A proactive approach to a lot-sizing and scheduling problem under demand uncertainty", in collaboration with Prof. S. Karabuk (Industrial and Systems Engineering department of The University of Oklahoma).