A Methodological Framework for the Optimization and Standardization of Warehouse and Procurement Processes in Mechanical and Electrical Maintenance Systems: A Case Study of the Consorzio di Bonifica Pianura di Ferrara

Warehouse and procurement management play a critical role in ensuring the operational continuity and reliability of mechanical and electrical maintenance systems, particularly in infrastructure-intensive environments. In traditionally managed and low-digitalization contexts, these processes are often characterized by limited material traceability, lack of standardized procedures, inefficient spare parts management, and weak coordination between warehouse and procurement functions. Such inefficiencies can lead to increased operational costs, delays in maintenance interventions, and reduced service reliability. These challenges are especially relevant in complex hydraulic systems such as those managed by the Consorzio di Bonifica Pianura di Ferrara, where maintenance activities are essential to guarantee territorial safety, prevent flooding, and ensure the proper functioning of irrigation and drainage infrastructure. In such a context, the availability and management of materials and spare parts directly influence not only operational efficiency but also the resilience of the entire hydraulic system. This thesis proposes a structured and lean-driven methodological framework for the optimization and standardization of warehouse and procurement processes within mechanical and electrical maintenance systems. The approach is articulated through a sequential Define–Improve–Control methodology. The Define phase focuses on the analysis of the current (AS-IS) system, identifying inefficiencies and root causes. The Improve phase involves the design of a TO-BE model based on process standardization, inventory optimization, and procurement rationalization. The Control phase ensures the sustainability of improvements through performance monitoring, standard operating procedures, and continuous improvement practices. The proposed framework is applied to the case of the Consorzio di Bonifica Pianura di Ferrara, highlighting its effectiveness in improving material traceability, reducing inefficiencies, and enhancing coordination between warehouse and procurement processes. The results demonstrate that even in low-digitalization environments, a structured and systematic approach can significantly improve operational performance. The study provides both a practical contribution to the case study and a scalable methodological framework applicable to similar maintenance-intensive organizations.

This thesis focuses on the analysis and improvement of warehouse management and procurement processes within the mechanical and electrical departments of the Consorzio di Bonifica Pianura di Ferrara. The organization currently relies on a predominantly traditional and manual system for managing inventory and purchasing activities, which can lead to inefficiencies in stock control, material traceability, and procurement planning. The objective of the project is to analyze the existing operational framework (AS-IS), identify the main organizational and logistical criticalities, and propose an improved process model (TO-BE) aimed at increasing efficiency, transparency, and standardization. The study focuses in particular on the rationalization of inventory management practices, the introduction of standardized material coding, and the definition of structured procurement procedures. Industrial engineering tools and methodologies are applied to support the analysis, including process mapping, inventory classification techniques, and principles of supply chain and procurement management. The proposed improvements aim to enhance inventory control, reduce stock-related inefficiencies, and support more effective resource management. The results of the study provide practical recommendations for improving operational performance and represent a replicable approach for organizations operating in similar contexts characterized by manual management systems and fragmented procurement practices.