Applying analytic hierarchy process and failure likelihood index method (AHP-FLIM) to assess human reliability in critical and sensitive jobs of a petrochemical industry

Risk analysis in underground tunnel construction with tunnel boring machines using the Best–Worst method and data envelopment analysis

“…The decision-makers compare the best criterion with other criteria (best-to-other) and the remaining ones with the worst criterion (other-to-worst) using importance scales as shown in Table 2 (more details on the importance scales, please see Zare et al [ 29 ], Orji et al [ 30 ], Gupta [ 31 ], and Koohathongsumrit and Luangpaiboon [ 32 ]). The best-to-other and other-to-worst vectors are respectively written as A BOd = { a B 1 d , a B 2 d , …, a Bmd } and A OWd = { a 1 Wd , a 2 Wd , …, a mWd }, where a Bjd is the importance scale of the best criterion over criterion j , evaluated by decision-maker d ; a jWd is the importance scale of criterion j over the worst criterion, evaluated by decision-maker d ; D is the number of decision-makers; a BBd = 1; a WWd = 1; j = 1, 2, …, m ; and d = 1, 2, …, D.…”

Suitability of bamboo to the ecological conditions in Ba Be district, Bac Kan province, Vietnam

“…This study employed the AHP model [ 28 ]. In this computational approach, all evaluation criteria were assigned equal importance in terms of weighting.…”

A new model to optimize the human reliability based on CREAM and group decision making

“…Then, they calculated the Failure Likelihood Index (FLI) for each of the identified human errors in the assigned works. Their findings indicated that the AHP‐FLI technique serves as a reasonable approach for evaluating human reliability in this context 35 . He et al.…”

“…Their findings indicated that the AHP-FLI technique serves as a reasonable approach for evaluating human reliability in this context. 35 He et al used CREAM to evaluate the probability of human reliability errors within a pharmaceutical corporation, assessing its applicability and reliability for broader use in HEP measures across various enterprises. 36 Morais et al implemented a machine learning (ML) algorithm to automate the categorization of accident reports linked to human errors.…”

“…In other words, each CPC can only have one effect on reliability at a time, and it cannot produce two or more conflicting impacts at the same time. Also, Equation (35), is to put CPCS in a better situation than the current situation. In fact, in this study, we seek to improve human performance and the costs due to human errors.…”