A new hybrid MCDM approach for RPN evaluation for a medical device prototype

Abstract

The Failure Mode and Effect Analysis (FMEA) is a useful instrument born in the aerospace industry and widely used to improve a process or product's efficiency. Over the years, this instrument has been adopted in increasingly different contexts, such as HealthCare. This paper proposes an approach aimed at improving the defects typical of the classic FMEA in the design phase, that is, in a scenario full of uncertainties and with little information available, using a new hybrid Multiple‐criteria decision‐making (MCDM) method in order to obtain a priority index more performant than Risk Priority Number (RPN). In the proposed method, the three assessment criteria have a different weighting in the index's final computation, differently from the classical RPN. These weights are obtained with a scientific technique, thus avoiding that excessive subjectivity influences the final result. A more efficient priority index is obtained through a new hybrid approach that solves some classical RPN gaps. A case study concerning an endoscope Ear Nose Throat Entropy (ENT) prototype is examined to illustrate the proposed method. FMEA analysis in HealthCare is increasingly used for its flexibility and reliability. This study focuses on using new techniques to eliminate certain defects or exploit some qualities better. The use of a robust and elastic innovative MCDM method to calculate a new priority index and a scientific technique to obtain the weight of the selection are the interesting insights proposed in this paper.

Evaluation of TPGU using entropy - improved TOPSIS - GRA method in China

“…[38] used this method to evaluate engine emissions. It is also used in medical industry that evaluated Risk Priority Number evaluation for a medical device prototype [39]. In the agricultural field, there are also examples of applying this method to green supplier selection in the agri-food industry [40].…”

Composite Hybrid Framework for Through-Life Multi-Objective Failure Analysis and Optimisation

“…The present study focuses on the use of hybrid modelling to support asset management decision-making in engineering systems. Studies [16], [49] - [51] highlighted that hybrid models are also used for asset management failure analysis and operational decision-making for complex engineering systems. Assuming that the synthesis of industrial system failures and the selection of cost-effective maintenance techniques account for a considerable part of the total downtime [42], [51], [52], our objective is to propose a hybrid framework that seamlessly integrates and optimises different established hybrid models to exploit their strengths.…”

“…Studies [16], [49] - [51] highlighted that hybrid models are also used for asset management failure analysis and operational decision-making for complex engineering systems. Assuming that the synthesis of industrial system failures and the selection of cost-effective maintenance techniques account for a considerable part of the total downtime [42], [51], [52], our objective is to propose a hybrid framework that seamlessly integrates and optimises different established hybrid models to exploit their strengths. Morgan et al [53], [54], recently postulated that when many hybrid models are integrated, owing to their intrinsic dynamism, uncertainty, and multidimensionality, they can provide sufficiently representative solutions to real-life industrial problems.…”

Designing a MCDM Model for Selection of an Optimal ERP Software in Organization

“…However, the decision to invest in an applied technology solution for businesses is not easy. Multi-criteria decision making (MCDM) is a field of study focused on the analysis of various available alternatives in a situation including everyday life, social sciences, engineering, art, medicine, and many other fields such as supplier evaluation and selection [3], location selection [4], renewable energy sectors [5], medical [6], and vender selection [7]. MCDM is one of the most popular decision-making models used in different fields.…”