Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A New Hybrid Dynamic FMECA with Decision-Making Methodology: A Case Study in an Agri-Food Company

Version 1 : Received: 22 December 2021 / Approved: 23 December 2021 / Online: 23 December 2021 (14:00:23 CET)
Version 2 : Received: 25 February 2022 / Approved: 28 February 2022 / Online: 28 February 2022 (09:13:41 CET)

How to cite: Di Nardo, M.; Murino, T.; Osteria, G.; Santillo, L.C. A New Hybrid Dynamic FMECA with Decision-Making Methodology: A Case Study in an Agri-Food Company. Preprints 2021, 2021120394. https://doi.org/10.20944/preprints202112.0394.v1 Di Nardo, M.; Murino, T.; Osteria, G.; Santillo, L.C. A New Hybrid Dynamic FMECA with Decision-Making Methodology: A Case Study in an Agri-Food Company. Preprints 2021, 2021120394. https://doi.org/10.20944/preprints202112.0394.v1

Abstract

The Failure Mode and Effect Analysis (FMEA) is often used to improve a system's reliability. This paper proposes a new approach that aims to overcome the most critical defects of the traditional FMEA. This new methodology combines the Entropy and Bwm methodology with the EDas and System Dynamics, FMECA: The EN-B-ED Dynamic FMECA. The main innovation’s point of the proposed work is the presence of an unknown factor (Cost) in order to take into consideration the economic aspect; the evaluation of the four-factor through both an objective method (Entropy method) and a subjective method (BWM); the ranking method used (EDAS method), much more accurate than RPN; the development of a dynamic criticality analysis to take in consideration the dynamic aspect of the system. This work aims to give manufacturing companies an easy and replicable method to analyze the possible failure modes and prevent the fault.

Keywords

FMEA; FMECA; MCDM; Entropy method; BWM; EDAS method; System Dynamics

Subject

Engineering, Industrial and Manufacturing Engineering

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