Application of a decision support tool for the risk management of a metro system

Graziano, Alessandro Di; Marchetta, V.; Grande, J.; Fiore, Silvia

doi:10.1080/23248378.2021.1906341

Cited by 6 publications

(3 citation statements)

References 29 publications

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“…Risk management issues involve different decisions for the relevant parties to make in various decision-making issues. Decision support systems can support complex problemsolving because they can be customized to support intelligent decisions [14], [15], [16]. Utilization of the decision support system can determine the risks that affect the achievement of the furniture industry targets.…”

Section: A Decision Support System For Risk Managementmentioning

confidence: 99%

Intelligent Decision Support System for Supply Chain Risk Management Process (SCRMP) with COBIT 5 in Furniture Industry

Andry¹,

Hadiyanto²,

Gunawan³

2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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Sustainable supply chain management can be a new strategy in the industry, especially in the furniture sector. In its implementation, different sources of risk factors emerge because the nature of the supply chain is too complex, causing supply and demand uncertainty for production. The furniture industry needs to implement supply chain risk management to overcome problems and cause a loss of trust from customers. This study aims to identify and manage supply chain risks in the furniture industry using the Supply Chain Risk Management Process (SCRMP) and COBIT 5 methods. After identifying the risk, the risk impact measurement uses the COBIT 5 method with the Deliver, Service, and Support (DSS) domain implemented into the decision support system. To find out changes after system implementation, the author conducts a risk assessment according to the COBIT 5 standard and evaluates the possibility of a risk occurring. The result of this study is a mapping of the handling of negative scenarios of risk after implementing the system that includes governance standards and input data to produce output documentation. Documents are applied to the decision support system to reduce risks in the supply chain. The SCRMP and COBIT 5 methods can manage supply chain risk more effectively. It guides the risk assessment area and provides information technology governance to the system. The implication of future research is to define standard operating procedure documentation for applying decision support systems in all divisions of the furniture industry.

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Section: A Decision Support System For Risk Managementmentioning

confidence: 99%

Intelligent Decision Support System for Supply Chain Risk Management Process (SCRMP) with COBIT 5 in Furniture Industry

Andry¹,

Hadiyanto²,

Gunawan³

2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…Xiahou et al explored the impact of design for safety on subway lifecycle safety management [ 23 ]. Di Graziano et al introduced a risk management methodology which can analyze the causes and consequences and assess the influence factors of subway safety [ 24 ]. Kim et al explored the effects of the built environment in subway stations on pedestrian injuries [ 25 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing Subway Operation Accidents Causations: Apriori Algorithm and Network Approaches

Deng

Zhang

Yuan

et al. 2023

IJERPH

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Subway operation safety management has become increasingly important due to the severe consequences of accidents and interruptions. As the causative factors and accidents exhibit a complex and dynamic interrelationship, the proposed subway operation accident causation network (SOACN) could represent the actual scenario in a better way. This study used the SOACN to explore subway operation safety risks and provide suggestions for promoting safety management. The SOACN model was built under 13 accident types, 29 causations and their 84 relationships based on the literature review, grounded theory and association rule analysis, respectively. Based on the network theory, topological features were obtained to showcase different roles of an accident or causation in the SOACN, including degree distribution, betweenness centrality, clustering coefficient, network diameter, and average path length. The SOACN exhibits both small-world network and scale-free features, implying that propagation in the SOACN is fast. Vulnerability evaluation was conducted under network efficiency, and its results indicated that safety management should focus more on fire accident and passenger falling off the rail. This study is beneficial for capturing the complex accident safety-risk–causation relationship in subway operations. It offers suggestions regarding safety-related decision optimization and measures for causation reduction and accident control with high efficiency.

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“…A. Di Graziano et al [5] introduced a complete set of risk management methods to quantitatively analyze the causes and consequences of safety incidents in metro operations and proposed a procedure applied to metro operations to evaluate the safety risk impact of three different management decisions using a derailment risk event as an example. Chen J et al [6] used artificial neural networks to evaluate the operational safety of urban rail transit systems.…”

Section: Introductionmentioning

confidence: 99%

Integrated Fuzzy DEMATEL-ISM-NK for Metro Operation Safety Risk Factor Analysis and Multi-Factor Risk Coupling Study

et al. 2023

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In order to effectively reduce the probability of subway operation accidents and explore the key risk factors and multi-factor risk coupling mechanism during the subway operation period, this paper classifies the risk factors affecting subway operation safety into four categories of primary risk factors, personnel, equipment and facilities, environment and safety management, introduces the emergency management concept to identify 18 secondary risk factors, combines the improved fuzzy decision making test and evaluation laboratory (DEMATEL) and Explanatory Structure Model (ISM) to visualize the risk factor action relationship, construct a six-order hierarchical recursive structure model for subway operation accidents, explore the coupling relationship and effect between risk factors from the perspective of single factor, double factor and multiple factors, establish a coupling effect metric model based on Natural Killing Model (N-K), carry out coupling information interaction scenario combination and coupling effect quantification calculation, and finally integrate fuzzy DEMATEL-ISM-NK model to correct the centrality, determine the key risk factors in subway operation accidents from the perspective of macro and micro analysis, qualitative and quantitative research, and propose safety prevention and control strategies accordingly. The results show that six factors, such as emergency management and social environment, are key risk factors to be prevented in the metro operation system. Multi-factor risk coupling leads to a higher probability of subway operation accidents, and controlling multi-factor involvement in coupling is an effective means to reduce the occurrence of subway operation accidents.

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Application of a decision support tool for the risk management of a metro system

Cited by 6 publications

References 29 publications

Intelligent Decision Support System for Supply Chain Risk Management Process (SCRMP) with COBIT 5 in Furniture Industry

Intelligent Decision Support System for Supply Chain Risk Management Process (SCRMP) with COBIT 5 in Furniture Industry

Analyzing Subway Operation Accidents Causations: Apriori Algorithm and Network Approaches

Integrated Fuzzy DEMATEL-ISM-NK for Metro Operation Safety Risk Factor Analysis and Multi-Factor Risk Coupling Study

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