Dynamic Availability Assessment Using Dynamic Evidential Network: Water Deluge System Case Study

Bougofa, Mohammed; Bouafia, Abderraouf; Chakhrit, Ammar; Guetarni, Islam Hadj Mohamed; Baziz, Amin; Aberkane, Salah; Zerouali, Bilal; Kharzi, Rabeh; Boutarfaïa, Ahmed

doi:10.1088/1755-1315/1098/1/012015

Cited by 4 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nowadays, a variety of industries are using risk evaluation techniques more frequently. As a result, many qualitative and quantitative risk evaluation methodologies are now used in research (Guetarni et al, 2019;Bougofa et al, 2021Bougofa et al, , 2022Bouafia et al, 2022). These techniques are frequently used to define, control and minimize the effects of hazards.…”

Section: Failure Modes and Effects Analysismentioning

confidence: 99%

A hybrid integrated multi-criteria decision-making approach for risk assessment: a study of automotive parts industry

Chakhrit,

Bougofa,

Guetarni

et al. 2023

IJQRM

View full text Add to dashboard Cite

PurposeThis paper aims to enable the analysts of reliability and safety systems to evaluate the risk and prioritize failure modes ideally to prefer measures for reducing the risk of undesired events.Design/methodology/approachTo address the constraints considered in the conventional failure mode and effects analysis (FMEA) method for criticality assessment, the authors propose a new hybrid model combining different multi-criteria decision-making (MCDM) methods. The analytical hierarchy process (AHP) is used to construct a criticality matrix and calculate the weights of different criteria based on five criticalities: personnel, equipment, time, cost and quality. In addition, a preference ranking organization method for enrichment evaluation (PROMETHEE) method is used to improve the prioritization of the failure modes. A comparative work in which the robust data envelopment analysis (RDEA)-FMEA approach was used to evaluate the validity and effectiveness of the suggested approach and simplify the comparative analysis.FindingsThis work aims to highlight the real case study of the automotive parts industry. Using this analysis enables assessing the risk efficiently and gives an alternative ranking to that acquired by the traditional FMEA method. The obtained findings offer that combining of two multi-criteria decision approaches and integrating their outcomes allow for instilling confidence in decision-makers concerning the risk assessment and the ranking of the different failure modes.Originality/valueThis research gives encouraging outcomes concerning the risk assessment and failure modes ranking in order to reduce the frequency of occurrence and gravity of the undesired events by handling different forms of uncertainty and divergent judgments of experts.

show abstract

Section: Failure Modes and Effects Analysismentioning

confidence: 99%

A hybrid integrated multi-criteria decision-making approach for risk assessment: a study of automotive parts industry

Chakhrit,

Bougofa,

Guetarni

et al. 2023

IJQRM

View full text Add to dashboard Cite

show abstract

“…The number of membership functions (MFs) was established for (5,5,5), showing that each input has five linguistic. Trapezoidal and Gaussian membership functions were used to analyze the relationships between input, frequency, severity, and non-detection and output variables.…”

Section: 1failure Mode Analysis By An Adaptive Neuro-fuzzy Inference ...mentioning

confidence: 99%

“…However, the risk assessment for the failure modes can be vastly dissimilar. Third, existing evaluation methods are complicated, and it is difficult to assess the three risk parameters in most cases [5,15,20].…”

Section: Introductionmentioning

confidence: 99%

A hybrid multi-criteria decision-making approach for the risk assessment in the automotive parts industry

chakhrit,

Guetarni,

Chennoufi

2023

Preprint

Self Cite

View full text Add to dashboard Cite

Failure modes and effects analysis (FMEA) is a structured method frequently utilized to recognize and eliminate possible failure modes. In the overall FMEA procedure, failure modes are evaluated and prioritized based on the risk priority numbers (RPN), calculated by multiplying three parameters: frequency (F), non-detection (ND), and severity (S). However, the conventional FMEA method fails to cope with the uncertainty in complex systems. To address the challenge of ambiguity and uncertainty, an Adaptive Neuro-Fuzzy Inference System (ANFIS) is used as a dynamic selected model where these factors are represented as components of a fuzzy set that has been fuzzified utilizing the suitable membership functions to predict the criticality evaluation of failure modes. In addition, to enhance decision-makers' confidence a new hybrid model for acquiring a more logical ranking of failure modes is suggested. Essentially, two parts of the evaluation procedure are explained: determining the weights of risk parameters using the Fuzzy Analytic Hierarchy Process (FAHP) and ranking the failure modes using a mathematical rough set theory and ‘Technique for Order Performance by Similarity to Ideal Solution’ (TOPSIS) method. In the current study, the failure modes are ranked by considering two further parameters, involving cost and treatment duration. Finally, an automotive parts industry case is presented to show the potential of the proposed approach. This analysis provides a different ranking of failure modes and improves the decision-making by providing a “preventive –corrective plan. A comparison with existing approaches is presented to demonstrate the efficiency of the suggested approach.

show abstract

Root causes analysis for improved containment integrity in LPG storage: A case study

Chakhrit,

Guedri,

Guetarni

et al. 2024

Process Safety Progress

View full text Add to dashboard Cite

A liquefied petroleum gas (LPG) storage system is a critical component designed for the storage of liquefied petroleum gas. LPG storage systems for hazardous materials require rigorous safety protocols to prevent catastrophic containment losses. However, complex interactions between equipment failure, human factors, and external events make prevention a persistent challenge. This study demonstrates the application of structured methods to systematically analyze, correct, and prevent loss of containment in LPG systems. In order to realize this, 8D methodology was used to analyze and solve the problem which included fault tree analysis (FTA) to identify the root causes. Additionally, the bow tie analysis (BTA) will be integrated into the analysis process to implement permanent mitigative actions and prevent the recurrence of similar issues in the future. As a result of this work, it was determined that by applying the proposed approach, the risk of undesired consequences was reduced compared to baseline levels. This study demonstrated the value of a structured suggested approach to improve containment integrity in high‐risk storage systems.

show abstract

Dynamic Availability Assessment Using Dynamic Evidential Network: Water Deluge System Case Study

Cited by 4 publications

References 18 publications

A hybrid integrated multi-criteria decision-making approach for risk assessment: a study of automotive parts industry

A hybrid integrated multi-criteria decision-making approach for risk assessment: a study of automotive parts industry

A hybrid multi-criteria decision-making approach for the risk assessment in the automotive parts industry

Root causes analysis for improved containment integrity in LPG storage: A case study

Contact Info

Product

Resources

About