Multi-criteria Decision Analysis in the Railway Risk Management Process

Bagiński, Jacek; Flisiuk, Barbara; Górka, Wojciech; Rogowski, Dariusz; Stęclik, Tomasz

doi:10.1007/978-3-030-19093-4_10

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…11). Below, one can see a sample assessment of security variants for the case of breaking the traction due to icing conducted manually, without any software support, by the expert (the use case is described with more details in [44]). The system presents a ranking of various options as well as a ranking of assessment criteria obtained by a given expert.…”

Section: Use Casesmentioning

confidence: 99%

Central threat register – a complex system for risk analysis and decision support in railway transport

Michalak

Górka

Bagiński

et al. 2020

IET Intelligent Transport Systems

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Section: Use Casesmentioning

confidence: 99%

Central threat register – a complex system for risk analysis and decision support in railway transport

Michalak

Górka

Bagiński

et al. 2020

IET Intelligent Transport Systems

Self Cite

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“…In addition to the use of the AHP embedded in the CTR, there are known attempts to use the AHP in railroad management, which are also listed in the article [7], with examples using MCDA methods (the already mentioned AHP, or ANP-Analytic Network Process) to plan transport routes for passengers or cargo trains [8], to assess alternatives for a transport network's development [9] and how to apply AHP to railway safety [10]. The AHP method, in combination with other methods, is increasingly a part of quantitative evaluation systems, including environmental aspects, related to railroads.…”

Section: Introductionmentioning

confidence: 99%

A Generic Component for Analytic Hierarchy Process-Based Decision Support and Its Application for Postindustrial Area Management

Michalak,

Bagiński,

Białas

et al. 2023

Infrastructures

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This paper presents a generic component for Analytic Hierarchy Process (AHP)-based decision support in risk management. The component was originally dedicated to railway transportation issues; however, its generality enabled it to extend its functionality for other domains too. To show the generality of the module and possibility of its application in other domains, an environmental case was run. Its goal was to select methods for planning the post-mining heap revitalization process, especially decision-making focusing on the selection of the most advantageous revitalization option on the basis of the Analytic Hierarchy Process and different, non-financial factors, e.g., social, environmental, technological, political, etc. Taking into account expert responses, the suggested solution was related to energy production.

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“…Risk engineers will use different methods for risk assessment and internal reporting in different problem situations [4]. Evaluation approaches used to determine the criteria, guidelines, and factors include the checklist, brainstorming, HAZOP, FMEA, structured what if technique (SWIFT), root cause analysis (RCA), primary hazard analysis (PHA), FTA, event tree analysis (ETA), and Ishikawa diagram approaches [30].…”

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confidence: 99%

An ITARA-TOPSIS Based Integrated Assessment Model to Identify Potential Product and System Risks

Hsu

Huang

et al. 2021

Mathematics

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This is a forward-looking approach that uses a multiple-criteria decision analysis (MCDA) model as an assessment tool for risk identification. This study proposes an indifference threshold-based attribute ratio analysis and technique for order preference by similarity to an ideal solution (ITARA-TOPSIS)-based assessment model to identify critical failure modes in products and systems. The improved indifference threshold-based attribute ratio analysis (ITARA) method can generate more reliable weights for risk factors. In addition, the modified technique for order preference by similarity to an ideal solution (TOPSIS) is used to obtain the risk levels of the failure modes. The gray correlation coefficient is applied to replace the conventional Euclidean distance, and a new index is used to determine the priority of failure modes. The determination of risk factors is based on the failure mode and effect analysis (FMEA) theory, including severity, occurrence, and detection. An important indicator, the expected cost, is also included in the framework. The case of a steam turbine for a nuclear power plant is used to demonstrate the approach, and the analysis results show that the proposed model is practical and effective. Moreover, the advantages of our integrated model are illustrated through model comparisons and sensitivity analysis. This paper can help decision-makers, risk engineers, and related researchers to better understand how a systematic risk assessment can be conducted.

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Multi-criteria Decision Analysis in the Railway Risk Management Process

Cited by 3 publications

References 5 publications

Central threat register – a complex system for risk analysis and decision support in railway transport

Central threat register – a complex system for risk analysis and decision support in railway transport

A Generic Component for Analytic Hierarchy Process-Based Decision Support and Its Application for Postindustrial Area Management

An ITARA-TOPSIS Based Integrated Assessment Model to Identify Potential Product and System Risks

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