PFDA-FMEA, An Integrated Method Improving FMEA Assessment in Product Design
| Autor: | Mauro Callejas-Cuervo, Erwin Adán Martínez Gómez, David Luviano-Cruz, Jesús Jaime Solano Noriega, Luis Pérez-Domínguez, Pedro Angel Garcia Aguirre |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Risk analysis
0209 industrial biotechnology Product Design (PD) Computer science Dimensional Analysis (DA) 02 engineering and technology lcsh:Technology lcsh:Chemistry 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering General Materials Science Sensitivity (control systems) Instrumentation lcsh:QH301-705.5 Fluid Flow and Transfer Processes Failure Mode and Effect Analysis (FMEA) Product design business.industry lcsh:T Process Chemistry and Technology General Engineering Vagueness Competitor analysis Pythagorean Fuzzy Sets (PFS) lcsh:QC1-999 Computer Science Applications Risk analysis (engineering) lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 New product development 020201 artificial intelligence & image processing business Risk assessment lcsh:Engineering (General). Civil engineering (General) Failure mode and effects analysis lcsh:Physics |
| Zdroj: | Applied Sciences, Vol 11, Iss 1406, p 1406 (2021) Applied Sciences Volume 11 Issue 4 |
| ISSN: | 2076-3417 |
| Popis: | Product Design (PD) currently faces challenges in new product development, since the industry is in a rush to introduce new products into the market, with customers demanding products that are faster, cheaper, and free from failure. In addition, global companies are trying to improve their product design risk assessment process to gain advantages over competitors, using proven tools like Failure Mode and Effect Analysis (FMEA) and mixing risk assessment methods. However, with current risks assessment tools and a combination of other methods, there is the opportunity to improve risk analysis. This document aims to reveal a novel integrated method, where FMEA, Pythagorean Fuzzy Sets (PFS), and Dimensional Analysis (DA) are cohesive in one model. The proposed method provides an effective technique to identify risks and remove uncertainty and vagueness of human intervention during risk assessment using the Failure Mode and Effect Analysis method. A real-life problem was carried out to illustrate the proposed method. Finally, the study was substantiated by using a correlation and sensitivity analysis, demonstrating the presented integrated method’s usefulness in decision-making and problem-solving. |
| Databáze: | OpenAIRE |
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