Human reliability in railway engineering: Literature review and bibliometric analysis of the last two decades

Ciani, Lorenzo; Guidi, Giulia; Patrizi, Gabriele

doi:10.1016/j.ssci.2022.105755

Cited by 22 publications

(13 citation statements)

References 99 publications

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“…A systematic literature review and bibliometric analysis are the most popular approaches in scientific research for uncovering emerging trends and identifying authors and institutions most engaged in certain Engineering Management in Production and Services scientific fields or journals that affect the analysed subject the most (Donthu et al, 2021). Many researchers indicate main research directions or areas based on systematic literature review results (in chosen scope) (Glińska & Siemieniako, 2018;Hamzeh & Xun, 2019;Alcácer et al, 2019;Szum, 2021), research gaps (Hajduk, 2017;Winkowska et al, 2019;Szpilko et al, 2020;Ciani et al, 2022;Michalski et al, 2022) or opportunities and directions for further research (Halicka, 2017;Siemieniako et al, 2021;Belezas & Daniel, 2022;Sun et al, 2022). Many useful tools and software were developed (e.g., Gephi or VOSviewer) to analyse a set of database records resulting from searching the scientific repositories.…”

Section: Methodsmentioning

confidence: 99%

Methods of Multi-Criteria Analysis in Technology Selection and Technology Assessment: A Systematic Literature Review

Kozłowska

2022

Engineering Management in Production and Services

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Technology assessment and selection problems have gained importance in recent decades as the used technology often determines the enterprises’ competitive advantage. Due to the extensive catalogue of criteria that should be considered and, on the other hand, the extensive catalogue of available technologies and solutions, the decision-making process of choosing a technology becomes a significant challenge for organisations and individuals. This study aims to identify the main research directions and trends in the scientific literature on applying multi-criteria analysis (MCA) in the context of technology assessment and/or technology selection. The author conducted a bibliometric analysis of publications indexed in the Web of Science and Scopus databases. The methodology of this study also included identifying the most productive authors, countries, organisations, and journals and analysing the occurrence and co-occurrence of terms. Final analyses included 380 publications retrieved from the Scopus database and 311 documents retrieved from the Web of Science repository. The analysis of the occurrence of terms and keywords allowed distinguishing two main research directions in using MCA methods in assessing and selecting industrial and health and medicine-related technologies. Some sub-areas have also been distinguished within these two areas: energy and renewable energy technologies, waste management, biomedical and medical technologies, and drug production technologies.

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Section: Methodsmentioning

confidence: 99%

Methods of Multi-Criteria Analysis in Technology Selection and Technology Assessment: A Systematic Literature Review

Kozłowska

2022

Engineering Management in Production and Services

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“…Their approach incorporated the hesitant fuzzy matrix (HFM), cognitive reliability techniques, and the CREAM method. 32 Also, Asadayoobi et al estimated human reliability by utilizing probabilistic mission fulfillment time through a BN. Their approach involved forecasting employee reliability and fulfillment time in uncertain environments.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For instance, Ciani et al employed HRA to enhance human reliability in railway engineering. 32 Uflaz et al and IlkeSezer et al utilized HRA for the assessment of ship managers. 33,34 Zare et al investigated human reliability in the petrochemical industry.…”

Section: No No Nomentioning

confidence: 99%

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

Bafandegan Emroozi,

Modares,

Roozkhosh

2023

Quality & Reliability Eng

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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.

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“…The conception of fuzzy numbers is first mentioned by Zadeh, 18 and wildly applied to the reliability analysis of safety critical systems, such as aerospace, [19][20][21] nuclear, [22][23][24] and railway industry. [25][26][27] The reliability analysis based on fuzzy logic usually represents the failure information of components as fuzzy numbers rather than crisp numbers, which express epistemic uncertainty. The utilization of fuzzy logic considers practical situations and provides more explanatory and comprehensive reliability analysis results for safety critical systems.…”

Section: Introductionmentioning

confidence: 99%

“…The conception of fuzzy numbers is first mentioned by Zadeh, 18 and wildly applied to the reliability analysis of safety critical systems, such as aerospace, 19–21 nuclear, 22–24 and railway industry 25–27 . The reliability analysis based on fuzzy logic usually represents the failure information of components as fuzzy numbers rather than crisp numbers, which express epistemic uncertainty.…”

Section: Introductionmentioning

confidence: 99%

A reliability analysis technique for complex systems with retaining fuzzy information

Zeng

Sun

2023

Quality & Reliability Eng

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This paper proposed a method for the reliability analysis of systems characterized by fuzzy failure probabilities and intricate failure behaviors, while retaining the fuzzy information throughout the analysis process. Specifically, we introduced a combinational modeling method that integrates generalized stochastic Petri nets (GSPN) and dynamic fault trees (DFT) to capture the dynamic failure behaviors and address the limitations of DFT modeling. This combinational approach is capable of capturing more sophisticated failure behaviors, such as competing failures and global failure propagation patterns. Furthermore, we propose an Monte Carlo technique based on endpoint sampling to enable quantitative analysis of GSPN‐based composite models, which preserves the fuzzy fault information of the system. Finally, we demonstrate the effectiveness of the proposed method through an example of a flight control system.

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Human reliability in railway engineering: Literature review and bibliometric analysis of the last two decades

Cited by 22 publications

References 99 publications

Methods of Multi-Criteria Analysis in Technology Selection and Technology Assessment: A Systematic Literature Review

Methods of Multi-Criteria Analysis in Technology Selection and Technology Assessment: A Systematic Literature Review

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

A reliability analysis technique for complex systems with retaining fuzzy information

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