A Comparative Analysis of Modular Design Methods: A Case Study of a Horizontal Flipping Workpiece Machine

This study examines the efficiency of modular design methodologies by comparing traditional methods with advanced approaches, specifically Axiomatic Design and DSM Cladistics Analysis. Utilizing a horizontal flipping workpiece machine case study, the research evaluates the modularity index of various clustering techniques. The traditional methods, Design Structure Matrix (DSM) and Hierarchical Clustering, are assessed against the newer methodologies to determine their effectiveness in grouping components modularly. Results indicate that Axiomatic Design and DSM Cladistics Analysis significantly enhance modular design, offering superior performance and control ease. This comparative analysis highlights the potential of advanced methodologies to improve machinery design, suggesting a paradigm shift towards these innovative approaches for enhanced modularization in engineering practices.