Supply Chain Planning: A Framework for Inventory Optimization and Material Management at Dainese S.p.A.

This thesis investigates how structured planning and inventory management techniques can improve supply chain performance, focusing on the case of Dainese S.p.A. The experience, developed within the Planning & Procurement office, goes through three key projects: segmentation of materials and finished products based on demand variability and frequency, rationalization of the product range combined with analysis of Minimum Order Quantities (MOQs), and the design of a Master Production Schedule (MPS) to bridge forecasts with production and procurement constraints. The first part of the work provides the theoretical and methodological background drawn from literature in production and operations management. The second part applies these principles to the Dainese case, demonstrating how data-driven analysis, even without advanced technologies, can lead to lower inventory levels, shorter lead times, and more stable planning processes. In an uncertain supply context, the thesis offers a practical framework for synchronizing demand, planning, and supply with efficiency and resilience.