A weight restricted DEA model for FMEA risk prioritization

Garcia, Pauli Adriano de Almada; Leal, Ilton Curty; Oliveira, Murilo Alvarenga

doi:10.1590/s0103-65132012005000092

Cited by 20 publications

(5 citation statements)

References 19 publications

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“…Several studies have emphasized the importance of considering the relative importance of risk variables in FMEA, as their significance can vary depending on the risk scenario and application field [7,8]. However, the traditional RPN approach cannot accommodate scenarios where Occurrence is more critical than Severity or where Detectability is the most significant risk factor.…”

Section: 𝑅𝑃𝑁 = 𝑆 × 𝑂 × 𝐷mentioning

confidence: 99%

Hybrid RPI-MCDM Approach for FMEA: A Case Study on Belt Conveyor in Bir El Ater Mine, Algeria

Moghrani,

Aoulmi,

Attia

2023

JESA

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Failure Modes and Effects Analysis (FMEA) is a widely-used technique for enhancing dependability by ranking failure modes according to their Risk Priority Number (RPN). However, RPN has limitations, such as non-injectivity, non-surjectivity, and difficulties in weighing risk variables. The Risk Prioritization Index (RPI) model offers an alternative, addressing some of these limitations and providing user-friendly prioritization of failure modes. This study proposes an integrated risk assessment model that combines the RPI model with Multiple Criteria Decision-Making (MCDM) methods, specifically the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The first approach uses entropy, average weight, and scenarios to estimate the impact of risk variables and identify key elements. The second approach combines rankings of failure modes from five RPI models using the integrated MCDM-TOPSIS method. The proposed methods are applied to a case study of a belt conveyor system in a mining company in Bir El Ater, Algeria, demonstrating their effectiveness and dependability.

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Section: 𝑅𝑃𝑁 = 𝑆 × 𝑂 × 𝐷mentioning

confidence: 99%

Hybrid RPI-MCDM Approach for FMEA: A Case Study on Belt Conveyor in Bir El Ater Mine, Algeria

Moghrani,

Aoulmi,

Attia

2023

JESA

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“…Subjective weights for these indicators were assigned using the expert judgment method and solved through α-level sets and linear programming models in addition to DEA [22]. In another study [23], the objective weights of risk factors were determined using the DEA method, and the significance of severity criteria was approached through weight restriction [23]. Furthermore, the exponential RPN (ERPN) and DEA model (CCR-AR) were integrated into the FMEA process in [24].…”

Section: Fmea and Dea Methodsmentioning

confidence: 99%

Aggregation of Risk Management and Non-Parametric Models to Rank Failure Modes of Radio Frequency Identification Systems

Chnina,

Daneshvar

2024

Applied Sciences

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The failure mode causes and effects analysis (FMCEA) is a commonly used reliability approach. It identifies, predicts, and analyzes potential failure modes affecting the proper function of equipment or the process under study, along with their roots and consequences. FMCEA aims to evaluate and assess the risks resulting from their occurrence, intending to suggest corresponding repair, adjustment, and precautionary measures to be planned during the conception, instruction, or implementation stages. However, the FMCEA has been criticized in the literature for its many inherent shortcomings related to risk assessment and prioritization. Therefore, this study presents an enhanced FMCEA method to address the deficiencies of the traditional risk priority number (RPN) and improve the reliability of risk assessments and corrective actions. A data envelopment analysis (DEA), as a non-parametric method, is used to evaluate the efficiency of these failures by considering their fixing time and cost and deciding on their final priority ranks. Sub-failure modes and their interrelationships are also taken into account. The radio frequency identification (RFID) system was chosen as an example due to its core role in Industry 4.0 and the Internet of Things (IoT) to demonstrate the effectiveness and usefulness of the proposed method. A total of 67 failures related to both hardware and software parts, including the environmental impacts of this technology, have been disclosed. The results of the conventional and the suggested FMCEA methods are found to be considerably different, with ten failure modes classified as being the most efficient.

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“…Hence, the direct input of CoDEA is the value of severity that represents the operation risk of each node. For the direct output of all nodes in CoDEA, when the traditional DEA model is used solely from the risk assessment perspective, the DEA model without the outputs, or constant outputs equals to one is usually applied ( Barnum, Johnson, & Gleason, 2016 ; Chang & Paul Sun, 2009 ; Garcia, Leal Junior, & Oliveira, 2012 ; Rezaee, Yousefi, Eshkevari, Valipour, & Saberi, 2020 ). However, some studies applied other alternative output values, e.g., cost and duration of treatment which are considered as two extra undesirable outputs ( Yousefia, Alizadeha, Hayatia, & Baghery, 2018 ).…”

Section: Methodology and Datamentioning

confidence: 99%

A global trade supply chain vulnerability in COVID-19 pandemic: An assessment metric of risk and resilience-based efficiency of CoDEA method

Jomthanachai

Wong

Soh

et al. 2022

Research in Transportation Economics

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The COVID-19 pandemic has an adverse impact on the global trade supply chain. Countries where the economy is driven by global trade, either as exporters or importers and are faced with the problem of declining imports and exports. This is due to the interruption of the main players of the global supply chain (i.e., production, logistics and transportation sector) as well as the slow-down in consumption of overseas customers. This paper presents the development of an efficiency related metric from the Coherent Data Envelopment Analysis (CoDEA) method for assessing the vulnerability (or conversely, the robustness) levels of the supply chain system of six ASEAN countries. The results reveal that Thailand is most vulnerable to international supply chain issues indicated by its lowest efficiency score. This is due to Thailand's severe disruption of logistics and transportation systems compared with its neighboring countries. In contrast, Vietnam is the most robust because of its efficiency in the exports sector. Our research reveals that trading partners with a lower risk and the ability to rapidly recover their import volume reflect their less vulnerable supply chains. This research provides the associated strategies to establish a resilient global supply chain in spite of the COVID-19 pandemic.

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A weight restricted DEA model for FMEA risk prioritization

Cited by 20 publications

References 19 publications

Hybrid RPI-MCDM Approach for FMEA: A Case Study on Belt Conveyor in Bir El Ater Mine, Algeria

Hybrid RPI-MCDM Approach for FMEA: A Case Study on Belt Conveyor in Bir El Ater Mine, Algeria

Aggregation of Risk Management and Non-Parametric Models to Rank Failure Modes of Radio Frequency Identification Systems

A global trade supply chain vulnerability in COVID-19 pandemic: An assessment metric of risk and resilience-based efficiency of CoDEA method

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