Risk assessment of hazard material transportation using FMECA approach: Case study in a Tunisian company

Ammar, Mohamed Haykal; Benaissa, Mounir; Chabchoub, Habib

doi:10.1109/icadlt.2014.6864072

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…Empirical data analysis and statistical analysis have been commonly used methods to identify and calculate risk factors (Friedman, 2001;Friedman and Meulman, 2003;Joni and Jasim, 2022;Lieggio Júnior, 2008;Yang et al, 2010).Some authors have also employed other techniques like failure mode and criticality analysis (Ammar et al, 2014), multicriteria analysis in a fuzzy environment (Cordeiro et al, 2014;Yang et al, 2018), and the use of Quality Function Deployment (QFD) (Cordeiro et al, 2014).…”

Section: Risk Calculation In the Rctmentioning

confidence: 99%

Bayesian Modelling Applied to Evaluate Road Cargo Transport Risks

Teles¹,

Librantz

Neto³

et al. 2023

Preprint

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In recent years, applying quantitative risk analysis in Road cargo transport (RCT) has yielded successful results in assessing risks associated with industrial industries. Recent studies have highlighted the significance of different modes of transportation (such as roads, rails, pipelines, and inland waterways)for hazardous materials, emphasizing their role in determining risk levels. Among these modes, road transport via trucks stands out as a crucial component for economic development and is commonly employed for transporting various types of cargo. To effectively evaluate the risk level of a given activity within RCT, it is essential to determine the severity index for each potential situation that may arise during the transportation process. In this context, this research aims to investigate and calculate the risks associated with RCT by employing Bayesian Networks. Computational models were implemented using Bayesian Network software, and data input was carried out using Microsoft Excel®spreadsheets. The methodology employed for this study entailed field research with the involvement of experts and academic sources, along with the utilization of a systematic literature review. Additionally, the Delphi technique was applied, followed by a survey. The results pointed that the proposed model could effectively aid in identifying the level of risk involved in RCT operations across different scenarios. Furthermore, this model enables managers to evaluate the probability of one or more risk factors occurring during operations, facilitating the implementation of more efficient mitigation measures.

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Section: Risk Calculation In the Rctmentioning

confidence: 99%

Bayesian Modelling Applied to Evaluate Road Cargo Transport Risks

Teles¹,

Librantz

Neto³

et al. 2023

Preprint

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“…We have proposed in a previous work a review of literature on dangerous products transportation (See [36] ) and we limit this paper to works dealing with the risk management based on the Business Process Modeling.…”

Section: A Basic Notion About Riskmentioning

confidence: 99%

“…But the proposal of such system requires a work that can be divided into two parts. The first one deals with modeling risk analysis related to hazardous products transportation as proposed in [36] . The second part deals with the design of a platform which can manage both risk and traceability.…”

Section: Hazardous Products Transportationmentioning

confidence: 99%

Traceability management system: Literature review and proposal of a system integrating risk management for hazardous products transportation

Ammar

Benaissa

Chabchoub

2015

2015 4th International Conference on Advanced Logistics and Transport (ICALT)

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The first part of this work presents a review of literature on traceability management systems in order to determine weaknesses and identify the different research areas.In this regard, it is worth noting that a few number of works have been done on traceability systems dedicated to transportation.There is also a lack of works dealing with the hazardous products transportation. Consequently, the development of a new system is clearly of interest and would represent a fertile area for research.We also note from the literature, the integration of quality control aspects in the model of traceability management which gives the idea to integrate risk management in the proposed system. The second will be devoted to a brief description of the proposed system.

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