التفاصيل البيبلوغرافية
| العنوان: |
A new model to optimize the human reliability based on CREAM and group decision making. |
| المؤلفون: |
Bafandegan Emroozi, Vahideh, Modares, Azam, Roozkhosh, Pardis |
| المصدر: |
Quality & Reliability Engineering International; Mar2024, Vol. 40 Issue 2, p1079-1109, 31p |
| مصطلحات موضوعية: |
GROUP decision making, HUMAN error, ERROR probability, HUMAN resources departments |
| مستخلص: |
The Cognitive Reliability and Error Analysis Method (CREAM) represents one of the second‐generation approaches to human reliability assessment, taking into account the influence of environmental conditions on human error probability (HEP). In the context of CREAM, the Common Performance Conditions (CPCs) influence error probabilities. Since not all CPCs have equal impacts, this study employs the Bayesian Best Worst Method (BWM), a novel approach in group decision‐making, to assign weights to these factors. Subsequently, two techniques based on basic CREAM are proposed. The current control mode is determined in the first technique according to the experts' opinions. Then the probability of human error is calculated based on the amount of control. It is possible to provide solutions for improving control mode, based on obtained results. Therefore, in this study, the second method has been used to make suggestions to enhance human reliability. For this purpose, in the second technique, an optimization problem is formulated to select the best applicable programs for managers to enhance human reliability. The proposed bi‐objective model tries to increase the reliability of human resources by reducing human error and costs. The proposed bi‐objective model seeks to bolster the reliability of human resources by concurrently minimizing HEP and associated costs. The efficiency of the presented methods is verified through a case study in the control room of the cement factory. The results of the first technique reveal an opportunistic control mode with a corresponding HEP of 0.0198. On the other hand, the outcomes of our proposed model underscore the greater impact of improving CPC levels in reducing the probability of human error. Ultimately, the practical programs derived from our mathematical model provide decision‐makers with valuable insights to reduce the probability of human error to a mere 0.000172 through the transition from opportunistic to strategic control. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
