A Hybrid Lean–Digital Approach to Paperless Transformation of Material Handling Processes in a Manufacturing Company.

This thesis addresses the analysis and redesign of information and documentation flows within an industrial context, with particular attention to operational processes characterized by a high volume of data collection and management. The main objective of the study is to reduce inefficiencies, redundancies, and critical issues associated with the use of paper-based records and duplicated data entry activities, through the transition toward digital systems. The project is developed using the Lean Six Sigma approach, following the DMAIC (Define, Measure, Analyze, Improve, Control) cycle as a methodological framework. In the initial phases, the project scope is defined and the current-state process is analyzed by means of process mapping tools and performance indicators in order to identify the main criticalities. The analysis phase enables the identification of operational and informational waste, highlighting how low value-added activities negatively affect efficiency, data reliability, and traceability. Based on the results obtained, a new operational framework oriented toward the digitalization of documentation and the standardization of information collection methods is designed. The final phase is dedicated to performance control and monitoring, ensuring the sustainability of the implemented improvements over time. The results demonstrate that the adoption of structured continuous improvement methodologies can effectively support the optimization of information processes in industrial environments.