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)
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.
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
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.