scholarly journals Case Study on a Potential Application of Failure Mode and Effects Analysis in Assessing Compliance Risks

Risks ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 164
Author(s):  
Ferenc Bognár ◽  
Petra Benedek

Assessing and reducing compliance risks can now be considered one of the core criteria for business success. While failure mode and effect analysis (FMEA) is widely used in engineering, its application in the financial sector is quite novel, primarily related to compliance risk assessment. This paper presents the results of exploratory research based on the potential application of FMEA in a focus group of compliance experts at one of the largest Central and Eastern European commercial banks. This study aims to establish a process for assessing compliance risks that builds on the strengths of both the qualitative and quantitative assessment methods. Applying FMEA based on a nominal group technique and further statistical analysis provides an opportunity to compare expert assessments and the consensus level of the participants. As a result, the similarity or difference of the assessment patterns can be quantified, providing objective feedback on the evaluation. Finally, this paper proposes lifting the detectability of failures as an evaluation dimension to the same level of importance as the probability and impact of non-compliance and using agreement testing statistical methods.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhairab Chandra Patra ◽  
Usha Lenka

Purpose The purpose of this study is to analyze the entrepreneurial intentions (EI) of women to better understand the cognition process of women which will help to identify the reason for their inadequate participation in the field of entrepreneurship. Design/methodology/approach This study follows the method of a traditional literature survey followed by scientometric analysis to identify the primary factors to the EI of women. The factors obtained from the literature review were provided to the nominal group, and the process of nominal group technique (NGT) was carried out to frame a research framework. The factors were then ranked based on their significance using the analytic hierarchy process (AHP), taking into consideration the review of experts. Findings Among the primary factors, personal factors were found to be the most influential factors and weighted 54%. Self-efficacy was found to be the most prominent secondary variable and had a global weight of 22.14%. Research limitations/implications The research outcome has implications for policymaking bodies, investors, academicians and potential women entrepreneurs. Future researchers can apply exploratory research methods and confirmatory research methods to test the research framework. Originality/value Very few researchers have used the technique of scientometric analysis for the review of literature on EI of women, and to the best of the authors’ knowledge, no earlier researcher has attempted to use the technique of NGT or AHP after scientometric analysis.


Author(s):  
Alexandre Kottmann ◽  
Mathieu Pasquier ◽  
Giacomo Strapazzon ◽  
Ken Zafren ◽  
John Ellerton ◽  
...  

Decisions in the management and rescue of avalanche victims are complex and must be made in difficult, sometimes dangerous, environments. Our goal was to identify indicators for quality measurement in the management and rescue of avalanche victims. The International Commission for Mountain Emergency Medicine (ICAR MedCom) convened a group of internal and external experts. We used brainstorming and a five-round modified nominal group technique to identify the most relevant quality indicators (QIs) according to the National Quality Forum Measure Evaluation Criteria. Using a consensus process, we identified a set of 23 QIs to measure the quality of the management and rescue of avalanche victims. These QIs may be a valuable tool for continuous quality improvement. They allow objective feedback to rescuers regarding clinical performance and identify areas that should be the foci of further quality improvement efforts in avalanche rescue.


2020 ◽  
Vol 1 (1) ◽  
pp. 162-173
Author(s):  
Dinesh Kumar Kushwaha ◽  
◽  
Dilbagh Panchal ◽  
Anish Sachdeva ◽  
◽  
...  

Failure Mode Effect Analysis (FMEA) is popular and versatile approach applicable to risk assessment and safety improvement of a repairable engineering system. This method encompasses various fields such as manufacturing, healthcare, paper mill, thermal power industry, software industry, services, security etc. in terms of its application. In general, FMEA is based on Risk Priority Number (RPN) score which is found by product of probability of Occurrence (O), Severity of failure (S) and Failure Detection (D). As human judgement is approximate in nature, the accuracy of data obtained from FMEA members depend on degree of subjectivity. The subjective knowledge of members not only contains uncertainty but hesitation too which in turn, affect the results. Fuzzy FMEA considers uncertainty and vagueness of the data/ information obtained from experts. In order to take into account, the hesitation of experts and vague concept, in the present work we propose integrated framework based on Intuitionistic Fuzzy- Failure Mode Effect Analysis (IF-FMEA) and IF-Technique for Order Preference by Similarity to Ideal Solution (IF-TOPSIS) techniques to rank the listed failure causes. Failure cause Fibrizer (FR) was found to be the most critical failure cause with RPN score 0.500. IF-TOPSIS has been implemented within IF-FMEA to compare and verify ranking results obtained by both the IF based approaches. The proposed method was presented with its application for examining the risk assessment of cutting system in sugar mill industry situated in western Uttar Pradesh province of India. The result would be useful for the plant maintenance manager to fix the best maintenance schedule for improving availability of cutting system.


2017 ◽  
Vol 32 (1) ◽  
pp. 28-37 ◽  
Author(s):  
Agustín Vázquez-Valencia ◽  
Andrés Santiago-Sáez ◽  
Bernardo Perea-Pérez ◽  
Elena Labajo-González ◽  
Maria Elena Albarrán-Juan

2021 ◽  
Vol 2 ◽  
pp. 263348952110184
Author(s):  
Melissa R Hatch ◽  
Kristine Carandang ◽  
Joanna C Moullin ◽  
Mark G Ehrhart ◽  
Gregory A Aarons

Background: The successful implementation of evidence-based practices (EBPs) in real-world settings requires an adaptive approach and ongoing process evaluation and tailoring. Although conducting a needs assessment during the preparation phase of implementation is beneficial, it is challenging to predict all barriers to EBP implementation that may arise over the course of implementation and sustainment. This article describes a process evaluation that identified emergent and persistent barriers that impacted the implementation of an EBP across multiple behavioral health organizations and clinics. Methods: This study was conducted during the first cohort of a cluster randomized controlled trial testing the effectiveness of the Leadership and Organizational Change for Implementation (LOCI) strategy to implement motivational interviewing (MI) in substance use disorder treatment agencies and clinics. We used a modified nominal group technique (NGT) in which clinic leaders identified barriers faced during the implementation process. Barriers were categorized, then ranked and rated according to leaders’ perceptions of each barrier’s influence on implementation. The barriers were then contextualized through individual qualitative interviews. Results: Fifteen barriers were identified, grouped into staff-level barriers, management-level barriers, and implementation program barriers. Time and resistance to MI were rated as the most influential staff-level barriers. Among management-level barriers, time was also rated highest, followed by turnover and external contractual constraints. The most influential implementation barrier was client apprehension of recording for fidelity assessment and feedback. Individual interviews supported these findings and provided suggested adaptations for future implementation efforts. Conclusion: EBP implementation is an ongoing process whereby implementation strategies must be proactively and strategically tailored to address emergent barriers. This research described a process evaluation that was used to identify 15 emergent and/or persistent barriers related to staff, management, and the implementation program. Using implementation strategies that can be tailored and/or adapted to such emergent barriers is critical to implementation effectiveness. Plain Language Summary Unforeseen barriers often arise during the course of implementation. Conducting evaluations during implementation allows for tailoring the implementation strategy. As part of a larger study using the Leadership and Organizational Change for Implementation (LOCI) strategy to implement motivational interviewing (MI), we collected data from the first cohort of LOCI clinic leaders to identify barriers to MI implementation that persisted despite advanced planning and to understand unanticipated barriers that arose during implementation. Leaders identified 15 barriers faced during the implementation process that fell into three categories: staff-level barriers, management-level barriers, and implementation program barriers. The leaders ranked time as the most influential barrier at both the staff and management levels. Staff apprehension, resistance to MI implementation, and staff turnover were also of significant concern to leaders. Future implementation efforts may benefit from conducting a similar process evaluation during the implementation phase.


Foods ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1102
Author(s):  
Purificación García-Segovia ◽  
Mª Jesús Pagán-Moreno ◽  
Amparo Tárrega ◽  
Javier Martínez-Monzó

Sandwiches are the most common “casual-food” consumed by all age groups in Spain. Due to the importance of visual appearance to promote unplanned or impulse buying, foodservice and hospitality companies focus on improving the visual impression of their food menus to create an expectation that satisfies both sensory and hedonic consumer experiences. To provide a list of attributes about the visual appearance of sandwiches, 25 students were recruited from a university and were invited to participate in two nominal group technique (NGT) sessions. To understand whether a sandwiches’ appearance can influence the expectation of consumers, 259 participants completed an online survey specially designed from the results of the NGT sessions. Data were analyzed using conjoint, internal preference mapping and cluster analysis; the interaction effect by gender was also studied. The conjoint results indicate that visual perception about the filling (vegetal or pork based) plays the most key role overall in consumer expectation. When consumers choose vegetables as the filling, the consumers’ perceived sandwiches as healthier, but the pork filling was perceived as more attractive and satiating. Interaction effect by gender was observed in filling when females perceived pork filling as less healthy than vegetable. By acceptance, consumers were segmented into three groups. The first cluster (n = 80) selected the pork filling. The smaller group (cluster 3, n = 36) prioritized the vegetal filling, and the most numerous cluster 2 (n = 140) liked sandwiches with multigrain bread. These results may help companies to build tailor-made marketing strategies to satisfy consumer segments.


2020 ◽  
Vol 11 (1) ◽  
pp. 29-38
Author(s):  
Ján Kováč ◽  
Pavol Ťavoda ◽  
Jozef Krilek ◽  
Pavol Harvánek

AbstractThe article deals with the research of operational reliability of forest felling machines by FMEA method (Failure Mode and Effect Analysis). It describes collection of operational data and its analysis. It explains the procedure of realization for the method FMEA in the organization. Harvesters John Deere 1070D in the Company Lesy SR B. Bystrica were chosen for this research. The research was held in real operational conditions. Application of the FMEA method allows flexibility in case of unexpected situations and optimization of human potential abilities. FMEA tool is a tool preventing outages operational reliability and preventive tool for ensuring the maintenance of facilities. The method of information analysis mentioned below is simple ale precise enough for implementation in real working conditions.


Author(s):  
Elena Bartolomé ◽  
Paula Benítez

Failure Mode and Effect Analysis (FMEA) is a powerful quality tool, widely used in industry, for the identification of failure modes, their effects and causes. In this work, we investigated the utility of FMEA in the education field to improve active learning processes. In our case study, the FMEA principles were adapted to assess the risk of failures in a Mechanical Engineering course on “Theory of Machines and Mechanisms” conducted through a project-based, collaborative “Study and Research Path (SRP)” methodology. The SRP is an active learning instruction format which is initiated by a generating question that leads to a sequence of derived questions and answers, and combines moments of study and inquiry. By applying the FMEA, the teaching team was able to identify the most critical failures of the process, and implement corrective actions to improve the SRP in the subsequent year. Thus, our work shows that FMEA represents a simple tool of risk assesment which can serve to identify criticality in educational process, and improve the quality of active learning.


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