The consistency analysis of failure mode and effect analysis (FMEA) in information technology risk assessment

Abstract

FMEA is as a method for assessing IT risks. This research aimed to examine the consistency of both traditional FMEA and improved FMEA in IT risk assessment. Improved FMEA is the result of a synthesis framework to minimize consistency in traditional FMEA. Two sets of action research cycles (plan, act, observe, reflect) were applied in this research. Action Research 1 was used to examine and prove the consistency of traditional FMEA. On the other hand, Action Research 2 was applied to examine the consistency of improved FMEA. Tests were carried out by two different teams in the same case study. The consistency was observed in the gap of the RPN results in both teams, and the differences result in both action research cycles. Action Research 1 proved that traditional FMEA was not consistent. The gap in the amount of risk at a very high level was four risks. However, Action research 2 had the same amount of risk at a very high level. Based on the correlation test, the consistency of action research 1 was 0.848 (very large correlation), and the action research 2 was 0.937 (near-perfect correlation). The consistency of improved FMEA proved to be more consistent than traditional FMEA. The limitation of this study was memory issues because both action research cycles were carried out by the same team and with similar case studies. Further research is expected to compare traditional FMEA and improved FMEA in different case studies. The theoretical contribution was the improved FMEA synthesis based on limitations of traditional FMEA. The FMEA team may use Improved FMEA Framework.

Análisis de riesgos en la industria farmacéutica: Desarrollo de un procedimiento operativo estandarizado en una empresa farmacéutica de Costa Rica

“…El estudio es sí era el control existente para determinar la estabilidad de la fórmula del producto bajo ciertas condiciones. Por ello, si bien el FMEA ayuda a estudiar y a priorizar las consecuencias y la frecuencia de ocurrencia de las fallas asociadas con un sistema (Pandey et al, 2016), se dejó al descubierto que no es aplicable a todas las situaciones para las que se desea implementar la evaluación de riesgos, confirmando lo indicado por estudios previos en cuando a las críticas generadas a esta herramienta en torno a la consistencia de la evaluación de riesgos (Subriadi & Najwa, 2020), siendo necesario disponer de otras opciones en determinados casos.…”

“…Se desarrolló la capacitación con los asistentes, que fue necesaria, pues la falta de entrenamiento sobre el uso de esta herramienta puede conducir a una evaluación irregular del riesgo, dependiendo de quién la lleve a cabo (Subriadi & Najwa, 2020). Las personas después de escuchar la explicación magistral realizada y desarrollar el ejercicio práctico hicieron diversas recomendaciones, entre ellas, utilizar el formato digital para el análisis de riesgos, porque se trabaja de una manera más organizada, sin necesidad de adicionar nuevos renglones en la hoja impresa cuando un paso o un componente contara con dos o más modos de falla o cuando el modo de falla presentara dos o más causas.…”

Continuing education as a Laboratory Management tool associated with Scientific Advice with a focus on quality and patient safety in the pre-analytical phase

“…Other methodologies similar to the PDCA used within the laboratory area are DMAIC and FMEA. In the first, the initials, in English, refer to definition, measurement, analysis, improvement and control, while FMEA means analysis of failure modes and their effects (Subriadi & Najwa, 2020). The Fish Skeleton, Fishbone Diagram, or Ishikawa Diagram, in honor of Professor Kaoru Ishikawa, who built the first cause and effect diagram to explain to some engineers in an industry how the various factors of a process were inter-related (Lira et al, 2017).…”

Failure Mode and Effect Analysis: A Technique to Prevent the Risk of SARS-COV-2 Infectionin A Retrocession Unit

“…It consists of systematic analysis of a process by initially identifying its failure modesor at least reduce the risk of system failures risk analysis. [12][13][14][15] This method is also proposed by the institute for safe medication practices (ISMP) in Canada. 16 The criticality of each failure mode is assessed by calculating the criticality index (CI).…”

“…This index combines notions of frequency of occurrence, detection capacity and severity of the effect generatedand should be carried out in a team, preferably multidisciplinary one. [14][15][16][17] In this sense, our study aims to analyze and establish a mapping of the infectious/transmission risk of SARS-CoV-2 (COVID-19) during hospital retrocession in order to implement preventive and corrective actions to reduce the infectious/transmission risk of SARS-CoV-2 (COVID-19) using the FMEA method.…”