Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed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)

A peer-reviewed article of this Preprint also exists.

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. Appl. Syst. Innov. 2022, 5, 45. 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. Appl. Syst. Innov. 2022, 5, 45.

Abstract

The Failure Mode and Effect Analysis (FMEA) is often used to improve a system's reli-ability. 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 Best Worst Method (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), that allows to obtain an objective weighted factor, a risk index when a machine failure occurs. The criticality analysis has been carried out using software (Vensim PLE x64) to simulate System Dynamics models to identify corrective actions and evaluating the possible implementation of these ac-tions. The methodology proposed is applied to a case study in a relevant Italian com-pany in the agri-food sector.

Keywords

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

Subject

Engineering, Industrial and Manufacturing Engineering

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