DATA-DRIVEN PERFORMANCE OPTIMIZATION AND QUALITY ENHANCEMENT IN A READY-TO-EAT FOOD MANUFACTURING LINE: THE PEDON S.P.A. CASE

This thesis project was developed in collaboration with Pedon S.p.A., a leading company in the production of legumes, cereals and seeds, with specific focus on the rapidly growing ready-to-eat department. The main objective is to enhance the operational performance of the lines in this area. The work starts with the identification of the main process issues, supported by the collection and validation of data from the company's MES. Data analysis tools and Continuous Improvement methodologies, as Jidoka and SMED, were adapted to the specific context to design targeted optimization actions. These were developed with the aim of strengthening quality control and reducing downtime, leading to higher OEE and production speed, as well as a more standardized and smoother workflow that ultimately enhances overall organizational performance.