Application of Weighted Factors for the Calculation of the NPR in the AMEF Procedure

Authors

DOI:

https://doi.org/10.29105/revig1.4-24

Keywords:

FMEA, NPR, cost, weighting, weighting factors.

Abstract

The application of the FMEA (Failure Mode and Effect Analysis) is of the utmost importance in industries, since it allows identifying possible failures in the design of the product or process, the effects of those failures and the actions that eliminate or reduce those effects. However, the results obtained with the current procedure for calculating the Risk Priority Number (NPR) cannot be used as a criterion to establish the order of the improvements required to remove or reduce the failure modes, since within the same FMEA, a repeated NPR in different potential failures can be found. This research proposes a method to define the order in which product or process defects must be solved to facilitate the implementation of the necessary actions to improve the design. First, the effects of the introduction of weighted factors in the calculation of the NPR are identified, based on the cost of the points involved in each of the failure modes, that is, how much the severity, occurrence, and detection of a failure costs to the company. The analysis is presented, adding this weight to the procedure to obtain the NPR, finally the results are displayed.

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Author Biographies

Leonardo Gabriel Hernández-Landa, Autonomous University of Nuevo León

Leonardo G. Hernandez-Landa holds a BSc. in Industrial Engineering from ITSPe in Veracruz, México and earned his PhD in Engineering from the graduate program in System Engineering at Department of Mechanical and Electrical Engineering, Universidad Autónoma de Nuevo León (UANL). Leonardo is currently a Professor of operations management at Department of Industrial Engineering, UANL in San Nicolás de los Garza, México, where he joined in 2016. Dr. Hernandez' research has primarily focused on methods for solving difficult discrete optimization problems arising in logistic, routing and transportation systems.

Elva Patricia Puente Aguilar, Universidad Autónoma de Nuevo León

Elva Patricia Puente Aguilar is a Professor of Industrial Engineering and Management area in the Universidad Autónoma de Nuevo León since 2010, teaching courses such as Industrial Engineering, Work Study, Manufacturing Processes, Materials Technology. She earned B.Sc. in Industrial Engineering with minor in Management and Master in Business Administration degree from Universidad Autónoma de Nuevo León. Currently she is a PhD student in Project Engineering at Universidad Internacional Iberoamericana. She has got ten years experience in manufacturing industry with expertise in the areas of material and production planning, manufacturing engineering, quality engineering and new products engineering. Her research interests include design and optimization of operations and education and engineering linkage in production systems.

Argelia Vargas Moreno, Autonomous University of Nuevo León

Argelia Vargas-Moreno. BSc. in Industrial Engineering with minor in Management and Master of Industrial Engineering by the UANL. Dean at School of Chemistry Sciences. Full time professor and taught undergraduate and graduate courses such as Industrial Engineering, Methods engineering and Operations research.  Worked as project engineer at Hylsa, at TUBACERO and IMSA. She has been recognized by the SEP with the PRODEP certification;  Her academic publications include books on the following topics:  Industrial Engineering, methods engineering, statistics, probability and accounting.

References

Chrysler LLC, Ford Motor Company, & General Motors Corporation. (2008). Potential Failure Mode and Effects Analysis FMEA Reference Manual (4th ed.) AIAG.

Denisis, A., Millán G., Millán, F., Moya, G., Soler, A., Colella, V. (2012). Detección y análisis de fallas. Análisis de modos y efectos de fallas. Universidad Nacional Experimental Politécnica Antonio José de Sucre.

Gilchrist W. (1993). Modeling failure modes and effects. International Journal of Quality and Reliability Management, pp .1-23.

Kmenta, S., & Ishii, K. (2000). Scenario-Based FMEA: A Life Cycle Cost Perspective. Volume 5: 14th Reliability, Stress Analysis, and Failure Prevention Conference; 7th Flexible Assembly Conference. https://doi.org/10.1115/detc2000/rsafp-14478

Lange, K., Leggett, S., & Baker, B. (2001). Potential failure mode and effects analysis (FMEA) reference manual. AIAG, Southfield, Michigan.

Liu, H. C., Liu, L., & Liu, N. (2013). Risk evaluation approaches in failure mode and effects analysis: A literature review. Expert Systems with Applications, 40(2), 828–838. https://doi.org/10.1016/j.eswa.2012.08.010

McDermott, R. E., Mikulak, R. J., & Beauregard, M. R. (2009). FMEA. New York: Taylor & Francis Group.

Rasmussen, N. C. (1981). The application of probabilistic risk assessment techniques to energy technologies. Annual Review of Energy, 6(1), 123-138.

Rhee, S. J., & Ishii, K. (2003). Using cost based FMEA to enhance reliability and serviceability. Advanced engineering informatics, 17(3-4), 179-188.

Sharma, K. D., & Srivastava, S. (2018). Failure mode and effect analysis (FMEA) implementation: a literature review. Journal of Advanced Research Aeronautical Space Science, 5, 1-17.

Spreafico, C., Russo, D., & Rizzi, C. (2017). A state-of-the-art review of FMEA/FMECA including patents. Computer Science Review, 25, 19-28.

Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2.a ed.). American Society for Quality ASQ.

Stamatis, D. H. (2018). Advanced product quality planning: the road to success. CRC Press.

Xiao, N., Huang, H. Z., Li, Y., He, L., & Jin, T. (2011). Multiple failure modes analysis and weighted risk priority number evaluation in FMEA. Engineering Failure Analysis, 18(4), 1162-1170.

Xu, K., Tang, L. C., Xie, M., Ho, S. L., & Zhu, M. L. (2002). Fuzzy assessment of FMEA for engine systems. Reliability Engineering & System Safety, 75(1), 17-29.

Published

2025-06-11 — Updated on 2025-06-17

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How to Cite

Hernández-Landa, L. G., Puente Aguilar, E. P., & Vargas Moreno, A. (2025). Application of Weighted Factors for the Calculation of the NPR in the AMEF Procedure. Revista Ingeniería Y Gestión Industrial, 1(4). https://doi.org/10.29105/revig1.4-24 (Original work published June 11, 2025)

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