Effect of rating modification on a fuzzy-based modular architecture for medical device design and development

Authors:
Celestine C. Aguwa;Leslie Monplaisir;Prasanth A. Sylajakumari
Affiliations:
Industrial and Systems Engineering, Wayne State University, Detroit, MI;Industrial and Systems Engineering, Wayne State University, Detroit, MI;Mechanical Engineering Department, PSG College of Technology, Coimbatore, India
Venue:
Advances in Fuzzy Systems
Year:
2012

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Abstract

The goal of this research is to determine the effect of customer ratings on the optimal number of modules for medical device design. Medical devices have a 90% failure rate in their first prototype tests according to the international testing body, Intertek. To address this key issue of quality, we present an integrated, collaborative, modular architecture method for medical device design and development. A typical glucometer is used as proof of concept to demonstrate the methodology and analyze the impact of changing the customer ratings on the optimal number of modules and minimum deviation. The implication of this research is to generate scholarly work and to reduce the number of potential failure points in medical devices by determining the optimal number of modules.