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Cardinal Maturity Determination of Technology Development: Medical Device Development Case Study

Published online by Cambridge University Press:  26 May 2022

S. R. Mishra*
Affiliation:
University of Toronto, Canada
K. Behdinan
Affiliation:
University of Toronto, Canada

Abstract

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A novel application of Best Worst Method (BWM) enables one to incorporate the complexity of specific sub-criteria of technological development to assess its maturity with the pre-established Technology Readiness Level (TRL) framework. It utilizes the concept of Multi-Criteria Decision Making (MCDM) methods to determine the cardinality of endpoint quantitative processes. The model is used to determine the maturity of Class II Ventilators and to detect the consistency aspects for their selection.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

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