Journal of Quality Engineering and Management

Evaluation and improvement of human reliability capabilities in using short and medium range radar system by CREAM fuzzy method

Document Type : Original Article

Author

golshan soltani

Master of Industrial Engineering, Faculty of Industrial Engineering, Islamic Azad University of Najafabad, Iran

https://doi.org/10.48313/jqem.2022.160376
Abstract
Human reliability is an important issue that is evaluated in order to prevent catastrophic events in high technology industries. The purpose of this study was to evaluate human reliability by CREAM fuzzy method in short and medium range radar systems, which ultimately led to the study of human reliability and the probability of error in each of the effective factors. Then the method of hierarchical analysis, pairwise comparisons, calculation of weights and system compatibility, matrix of pairwise comparisons and control style, and ranking were performed. After collecting information from questionnaires and consulting experts, job analysis was performed by hierarchical analysis (HTA). Then the table of working conditions affecting the operator's performance (CPC) was drawn, and working conditions affecting the user's performance were presented using the table of CPCs. In the next step, the fuzzy AHP method was investigated , after calculating the pairwise comparison matrices, control styles were determined. At the end of the work, the factors causing the error along with the amount of human reliability and the probability of error in each factor were identified. The results indicated that human reliability is significantly improved. Based on the findings of the study, determining the contribution of various factors influencing human error, provide a more effective assessment. Among the job tasks, the factor of "preparation of mechanical parts" with a probability of 0.416 has the highest probability of error and should focus more on this factor.

Keywords

human reliability
fuzzy logic
CREAM method
radar systems
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Journal of Quality Engineering and Management
Volume 11, Issue 4
Winter 2022
Pages 339-350

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