AN EXTENSION OF THE FAILURE MODE EFFECTS AND CRITICALITY ANALYSIS WITH FUZZY ANALYTICAL HIERARCHY PROCESS METHOD TO ASSESS THE EMERGENCY SAFETY BARRIERS

The emergency safety barrier is one of the reactive technical safety barriers in industrial facilities. Degrade of emergency safety barriers can lead to a major accident with serious consequences for people, property and the environment. In this context, the purpose of this article is to present a proposed methodology to identify these deficiencies, thus ensuring the effectiveness of the emergency safety barriers. This paper presents an integrated approach that uses fuzzy set theory, extension of failure modes, effects and criticality analysis and the fuzzy analytic hierarchy process method to deal with uncertainty in decision-making related to the prioritization of risk factors. These risk factors are the prioritization of corrective actions associated with the most critical disturbance modes to improve the reliability of emergency safety barriers. In addition, a Liquefied Petroleum Gas production facility was selected as a case study to assess the emergency safety barriers. The results show that the proposed methodology provides the possibility to evaluate the fire-fighting systems. In addition, the fuzzy analytical approach method is the most reliable and accurate. Therefore, some corrective actions are suggested to reduce the failure criticality of the emergency safety barriers and help practitioners prioritize the improvement of the emergency safety barriers of the Liquefied Petroleum Gas storage facility. This paper has an important role in the dysfunctional analysis of the emergency safety barriers related to the others effects of the release of LPG, such as the effects of domino scenarios

Three Decades of Fuzzy AHP: A Bibliometric Analysis

[EN] For decades, Fuzzy Sets Theory (FST) has been consistently developed, and its use has spread across multiple disciplines. In this process of knowledge transfer, fuzzy applications have experienced great diffusion. Among them, Fuzzy Analytic Hierarchy Process (fuzzy AHP) is one of the most widely used methodologies today. This study performs a systematic review following the PRISMA statement and addresses a bibliometric analysis of all articles published on fuzzy AHP in journals indexed in Web of Science, specifically in Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI). The analyzed database includes 2086 articles published between 1994 and 2022. The results show the thematic clusters, the evolution of the academic conversation and the main collaboration networks. The main contribution of this article is to clarify the research agenda on fuzzy AHP. The results of the study allow academics to detect publication opportunities. In addition, the evidence found allows researchers and academics setting the field¿s agenda to advise the editors of high-impact journals on gaps and new research trends.Castello-Sirvent, F.; Meneses-Eraso, C.; Alonso-Gómez, J.; Peris-Ortiz, M. (2022). Three Decades of Fuzzy AHP: A Bibliometric Analysis. Axioms. 11(10):1-34. https://doi.org/10.3390/axioms11100525134111

Failure Mode and Effect Analysis of Power Transformer Based on Cloud Model of Weight

As the key component of a power system, the power transformer directly impacts the reliability and safety of the system. Failure mode and effects analysis (FMEA) is a methodology used to analyze potential failure modes within a system and has been used extensively to examine the power transformer’s performance in various potential failure scenarios. However, the FMEA method has several flaws; for example, the non-differential analysis of evaluation index and the impossibility of evaluating the actual risk among risk priority number (RPN) values that on the surface are equal. The cloud model of weight incorporates the relative importance of index. This paper proposes applying FMEA based on the cloud model of weight to assess a power transformer for risk, and shows that this method can effectively overcome the defects of traditional FMEA assessment methods

Gri ilişki analizi ve bulanık analitik hiyerarşi süreci yönteminin HEMA analizinde uygulanması

The purpose of this study is to compare three different methods for prioritizing failure modes in a design FMEA study. These methods are traditional approach, Grey Relational Analysis (GRA- under the assumption of risk factors having equal weights) and integration of Grey Relational Analysis and Fuzzy Analytic Hierarchy Process (FAHP) -to estimate weights for the risk factors-. According to the findings, integration of Grey Relational Analysis and fuzzy AHP revealed a difference in prioritizing failure modes from the methods with the assumption of equal weights. Because this method eliminates some of the shortcomings of the traditional approach, it is a useful tool in identifying the high-priority failure modes.Bu çalışmanın amacı bir tasarım HMEA uygulamasında, hata türlerini önceliklendirmede kullanılabilecek üç farklı yöntemi karşılaştırmaktır. Bu yöntemler; geleneksel HMEA risk öncelik sıralaması, Gri İlişki Analizi (risk faktörlerinin ağırlıklarının eşit olduğu varsayımı altında) ve risk faktörlerine farklı ağırlıklar vermek üzere Gri İlişki Analizi ve Bulanık Analitik Hiyerarşi Prosesi (BAHP) yöntemlerinin birlikte uygulanmasıdır. Elde edilen bulgulara göre Gri İlişki Analizi ve bulanık AHP birlikte kullanıldığında oluşan sıralamanın, ağırlıkların eşit olduğu varsayımına dayanan sıralamaya göre farklı olduğu gözlemlenmiştir. Bu yöntemin, geleneksel yaklaşımın bazı sakıncalarını giderebildiği için, öncelikli hata türlerini belirlemede etkin bir yöntem olduğu öne sürülebilir

Potential connections of unique manufacturing and industry 4.0.

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FMEA TECHNIQUES USED IN ENVIRONMENTAL RISK ASSESSMENT

Other industries or strategic installations cities after the industrialization process, a large percentage of urban land use, consciously or unconsciously to have been allocated. Investigation and detection of black spots and dangerous in systems and processes to prevent accidents is of particular importance. Risks in the project, are unknown events that may happen in the event of a negative or positive impact on project objectives is effective. Each event has specific causes and consequences are distinguishable. The consequences of these events directly in time, cost and quality. Therefore, effective project risk identification and to determine the effect of special importance. Organizations should be able to use a variety of methods to assess the risk of one or a combination of the select few. This article introduces the risk assessment and FMEA methodology has been focused on the process of doing that

On the characterisation of uncertainty in performance measurement systems

Performance measurement systems (PMSs) are receiving increasing attention from academics and practitioners particularly after the development of the Balanced Scorecard (BSC), and many PMSs are available nowadays. The hypothesis is that organisations need to reflect the uncertainty of its systems and contextual factors in their PMs to improve their models. This identification of uncertainty in PMS is the first step to reduce such uncertainty. This work provides a classification of uncertainty components that affect the quality of PMs

FlowSort-GDSS:a novel group multi-criteria decision support system for sorting problems with application to FMEA

Failure mode and effects analysis (FMEA) is a well-known approach for correlating the failure modes of a system to their effects, with the objective of assessing their criticality. The criticality of a failure mode is traditionally established by its risk priority number (RPN), which is the product of the scores assigned to the three risk factors, which are likeness of occurrence, the chance of being undetected and the severity of the effects. Taking a simple "unweighted" product has major shortcomings. One of them is to provide just a number, which does not sort failures modes into priority classes. Moreover, to make the decision more robust, the FMEA is better tackled by multiple decision-makers. Unfortunately, the literature lacks group decision support systems (GDSS) for sorting failures in the field of the FMEA. In this paper, a novel multi-criteria decision making (MCDM) method named FlowSort-GDSS is proposed to sort the failure modes into priority classes by involving multiple decision-makers. The essence of this method lies in the pair-wise comparison between the failure modes and the reference profiles established by the decision-makers on the risk factors. Finally a case study is presented to illustrate the advantages of this new robust method in sorting failures

Improved Decision Model for Evaluating Risks in Construction Projects

The paper develops an innovative risk evaluation methodology to address the challenges of multicriteria decision-making problem of project evaluation and selection. The methodology considers the fuzzy analytic network process (FANP) to incorporate the interdependencies of different risk factors, and failure mode and effect analysis (FMEA) to conduct the rating analysis of projects to develop the decision matrix. Finally, evaluation based on the distance from the average solution compares alternative projects and reports the optimal solution. The proposed approach allows project managers to engage in the evaluation process and to use fuzzy linguistic values in the assessment process. A case study from the construction sector is selected to verify the efficacy of the proposed approach over other popular approaches in the literature

Decision making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA)

The aim of the present study is to overcome some of the limitations of the FMEA method by presenting a theoretical base for considering risk evaluation into its assessment methodology and proposing an approach for its implementation. Fuzzy AHP is used to calculate the weights of the likelihood of occurrence (O), severity (S) and difficulty of detection (D). Additionally, the Prospect Theory-based TODIM method was integrated with fuzzy logic. Thus, fuzzy TODIM was employed to calculate the ranking of potential failure modes according to their RPNs. In order to verify the results of the study, in-depth interviews were conducted with the participation of industry experts. The results are very much in line with Prospect Theory. Therefore, practitioners may apply the proposed method to FMEA. The most crucial failure mode for a firm’s attention is furnace failure followed by generator failure, crane failure, tank failure, kettle failure, dryer failure, and operator failure, respectively. The originality of this paper consists in integrating Prospect Theory with the FMEA method in order to overcome the limitations naturally inherent in the calculation of the FMEA’s Risk Priority Numbers (RPNs).N/