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Daniele Grazzini; Andrea Tomassi; Andrea Falegnami; Elpidio Romano; Claudio Buccini

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This study, originating from an undergraduate thesis, delves into the application of the Design Structure Matrix (DSM) to enhance efficiency in automotive processes, with a particular focus on the Seat Bridge patent case. It aims to compare traditional and innovative car seat assembly methods to evaluate and validate novel ideas, optimization attempts, and innovations. The analysis employs time and cost metrics to scrutinize the effectiveness of patents and innovative approaches. Highlighting the study is the introduction of advanced computational tools, such as the "Adjacency Matrix Exporter" plugin for Obsidian.md and a specialized Excel worksheet developed by MIT, which introduce new functionalities to support innovative processes. These tools are poised to open avenues for further research, underscoring the potential for advancements in this area. The SeatBridge case study exemplifies how innovation can be thoroughly assessed through these sophisticated methodologies, stressing the significance of ongoing exploration in this vibrant and evolving sector.

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Design Structure Matrix (DSM), Automotive processes, Time and cost metrics, Adjacency Matrix, Process optimization