Application of CREAM human reliability model to cargo loading process of LPG tankers

Akyüz, Emre; Celik, Metin

doi:10.1016/j.jlp.2015.01.019

Cited by 111 publications

(54 citation statements)

References 18 publications

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“…The second step: evaluation of common performance conditions (CPCs) affecting user performance: In this step, after the analysis of job tasks, the general characteristics and common performance conditions affecting the operator were identified, which are presented in Table 1 (15).…”

Section: Methodsmentioning

confidence: 99%

A Cognitive Human Error Analysis with CREAM in Control Room of Petrochemical Industry

Shokria¹,

Varmazyar²,

Heydari³

2016

Biotech Health Sci

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Section: Methodsmentioning

confidence: 99%

A Cognitive Human Error Analysis with CREAM in Control Room of Petrochemical Industry

Shokria¹,

Varmazyar²,

Heydari³

2016

Biotech Health Sci

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“…In this stage, considering the numbers found from the previous stages and the ones found using Equation 4 for each step of the process, the amount of the final CFP for each substep was calculated (17,25). Equation 4.…”

Section: Evaluating the Cognitive Failure Probability (Cfpi) As Quantmentioning

confidence: 99%

“…It is evident that in several studies, CREAM method, which is used to identify and assess human errors, has been used in various fields, such as health care system. For example, the studies of Mohammadfam et al and others can be noted (3,4,(16)(17)(18)(19)(20)(21)(22)(23).…”

Section: Introductionmentioning

confidence: 99%

Identification and Evaluation of Human Errors in the Medication Process Using the Extended CREAM Technique

Mohammadfam

Bashirian

Bakhshi

2017

Jundishapur J Health Sci

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Background: Medication process is a powerful instrument for curing patients. Obeying the commands of this process has an important role in the treatment and provision of care to patients. Medication error, as a complicated process, can occur in any stage of this process, and to avoid it, appropriate decision-making, cognition, and performance of the hospital staff are needed. Objectives: The present study aimed at identifying and evaluating the nature and reasons of human errors in the medication process in a hospital using the extended CREAM method. Methods: This was a qualitative and cross-sectional study conducted in a hospital in Hamadan. In this study, first, the medication process was selected as a critical issue based on the opinions of experts, specialists, and experienced individuals in the nursing and medical departments. Then, the process was analyzed into relative steps and substeps using the method of HTA and was evaluated using extended CREAM technique considering the probability of human errors. Results: Based on the findings achieved through the basic CREAM method, the highest CFPt was in the step of medicine administration to patients (0.056). Moreover, the results revealed that the highest CFPt was in the substeps of calculating the dose of medicine and determining the method of prescription and identifying the patient (0.0796 and 0.0785, respectively). Also, the least CFPt was related to transcribing the prescribed medicine from file to worksheet of medicine (0.0106). Conclusions: Considering the critical consequences of human errors in the medication process, holding pharmacological retraining classes, using the principles of executing pharmaceutical orders, increasing medical personnel, reducing working overtime, organizing work shifts, and using error reporting systems are of paramount importance.

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“…We can say that a thorough and valid analysis of human-related accidents is needed to prevent and reduce them, thereby enhancing system safety. However, unlike the analysis of an accident due to technical failures, human-related accident analysis has some difficulty in understanding the accident situation and extracting useful lessons-learned from the accident (Akyuz and Celik 2015;Dekker 2002b;Woods et al 2010;Haslam et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

A new approach to analysing human-related accidents by combined use of HFACS and activity theory-based method

2017

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(2017) A new approach to analysing human-related accidents by combined use of HFACS and activity theory-based method.Cognition, Technology and Work, 19 (4). pp. 759-783. ISSN 1435-5566 Final accepted version (with author's formatting)This version is available at: http://eprints.mdx.ac.uk/23629/ Copyright:Middlesex University Research Repository makes the University's research available electronically.Copyright and moral rights to this work are retained by the author and/or other copyright owners unless otherwise stated. The work is supplied on the understanding that any use for commercial gain is strictly forbidden. A copy may be downloaded for personal, non-commercial, research or study without prior permission and without charge.Works, including theses and research projects, may not be reproduced in any format or medium, or extensive quotations taken from them, or their content changed in any way, without first obtaining permission in writing from the copyright holder(s). They may not be sold or exploited commercially in any format or medium without the prior written permission of the copyright holder(s).Full bibliographic details must be given when referring to, or quoting from full items including the author's name, the title of the work, publication details where relevant (place, publisher, date), pagination, and for theses or dissertations the awarding institution, the degree type awarded, and the date of the award.If you believe that any material held in the repository infringes copyright law, please contact the Repository Team at Middlesex University via the following email address:eprints@mdx.ac.ukThe item will be removed from the repository while any claim is being investigated. ABSTRACTThis study proposes a new method for modelling and analysing human-related accidents. It integrates HFACS (Human Factors Analysis and Classification System), which addresses most of the socio-technical system levels and offers a comprehensive failure taxonomy for analysing human errors, and AT (Activity Theory)-based approach, which provides an effective way for considering various contextual factors systematically in accident investigation. By combining them, the proposed method makes it more efficient to use the concepts and principles of AT. Additionally, it can help analysts use HFACS taxonomy more coherently to identify meaningful causal factors with a sound theoretical basis of human activities. Therefore, the proposed method can be effectively used to mitigate the limitations of traditional approaches to accident analysis, such as over-relying on a causality model and sticking to a root-cause, by making analysts look at an accident from a range of perspectives.To demonstrate the usefulness of the proposed method, we conducted a case study in nuclear power plants. Through the case study, we could confirm that it would be a useful method for modelling and analysing human-related accidents, enabling analysts to identify a plausible set of causal factors efficiently in a methodical consideration of contextual b...

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Application of CREAM human reliability model to cargo loading process of LPG tankers

Cited by 111 publications

References 18 publications

A Cognitive Human Error Analysis with CREAM in Control Room of Petrochemical Industry

A Cognitive Human Error Analysis with CREAM in Control Room of Petrochemical Industry

Identification and Evaluation of Human Errors in the Medication Process Using the Extended CREAM Technique

A new approach to analysing human-related accidents by combined use of HFACS and activity theory-based method

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