Development of a Method for Comparing Industrial Processes Using DSM: Application to a Case Study in the Automotive Sector, the SeatBridge Patent
DS 134: Proceedings of the 26th International DSM Conference (DSM 2024), Stuttgart, Germany
Year: 2024
Editor: Harold (Mike) Stowe; Christopher Langner; Matthias Kreimeyer; Tyson R. Browning; Steven D. Eppinger; Ali A. Yassine
Author: Daniele Grazzini; Andrea Tomassi; Andrea Falegnami; Elpidio Romano; Claudio Buccini
Series: DSM
Institution: Telematic University UNINETTUNO (Rome), Italy; SB Sintec
Page(s): 030-039
DOI number: 10.35199/dsm2024.04
Abstract
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.
Keywords: Design Structure Matrix (DSM), Automotive processes, Time and cost metrics, Adjacency Matrix, Process optimization