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Article
Publication date: 24 October 2023

Bianca Arcifa de Resende, Franco Giuseppe Dedini, Jony Javorsky Eckert, Tiago F.A.C. Sigahi, Jefferson de Souza Pinto and Rosley Anholon

This study aims to propose a facilitating methodology for the application of Fuzzy FMEA (Failure Mode and Effect Analysis), comparing the traditional approach with fuzzy…

323

Abstract

Purpose

This study aims to propose a facilitating methodology for the application of Fuzzy FMEA (Failure Mode and Effect Analysis), comparing the traditional approach with fuzzy variations, supported by a case application in the aeronautical sector.

Design/methodology/approach

Based on experts' opinions in risk analysis within the aeronautical sector, rules governing the relationship between severity, occurrence, detection and risk factor were defined. This served as input for developing a fuzzyfied FMEA tool using the Matlab Fuzzy Logic Toolbox. The tool was applied to the sealing process in a company within the aeronautical sector, using triangular and trapezoidal membership functions, and the results were compared with the traditional FMEA approach.

Findings

The results of the comparative application of traditional FMEA and fuzzyfied FMEA using triangular and trapezoidal functions have yielded valuable insights into risk analysis. The findings indicated that fuzzyfied FMEA maintained coherence with the traditional analysis in identifying higher-risk effects, aligning with the prioritization of critical failure modes. Additionally, fuzzyfied FMEA allowed for a more refined prioritization by accounting for variations in each variable through fuzzy rules, thereby improving the accuracy of risk analysis and providing a more realistic representation of potential hazards. The application of the developed fuzzyfied FMEA approach showed promise in enhancing risk assessment in the aeronautical sector by considering uncertainties and offering a more detailed and context-specific analysis compared to conventional FMEA.

Practical implications

This study emphasizes the potential of fuzzyfied FMEA in enhancing risk assessment by accurately identifying critical failure modes and providing a more realistic representation of potential hazards. The application case reveals that the proposed tool can be integrated with expert knowledge to improve decision-making processes and risk mitigation strategies within the aeronautical industry. Due to its straightforward approach, this facilitating methodology could also prove beneficial in other industrial sectors.

Originality/value

This paper presents the development and application of a facilitating methodology for implementing Fuzzy FMEA, comparing it with the traditional approach and incorporating variations using triangular and trapezoidal functions. This proposed methodology uses the Toolbox Fuzzy Logic of Matlab to create a fuzzyfied FMEA tool, enabling a more nuanced and context-specific risk analysis by considering uncertainties.

Details

International Journal of Quality & Reliability Management, vol. 41 no. 4
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 1 February 2004

Fábio Luís Ramos da Silva, Katia Lucchesi Cavalca and Franco Giuseppe Dedini

The aim of both value analysis (VA) and quality function deployment (QFD) is to reduce waste by avoiding redesign and providing optimal location of costs in general. To satisfy…

2201

Abstract

The aim of both value analysis (VA) and quality function deployment (QFD) is to reduce waste by avoiding redesign and providing optimal location of costs in general. To satisfy the consumer's most important needs, the VA prioritizes the increase in the cost of the product and not the subsequent price rise. QFD aims at generating clear engineering needs from consumer requirements thus, minimizing the reprojecting cost (“cost” should read “waste”) and changes in the products. The existing common concepts between two design tools, QFD (the project tool) and VA (the product optimization tool) motivated this study. QFD establishes a link among parameters such as the consumer needs, engineering requirements and a comparative analysis of the consumer perception against that of rival companies. The VA prioritizes a rise in the aggregate value (perceived by the consumer) by optimization development and production costs. The proposed methodology is capable of integrating these two tools, integrating costs with product development (“for the consumer”) for a joint analysis. This way it is possible to establish optimum cost values for each engineering requirement. It is also possible to evaluate the cost of each product function. Furthermore, the methodology provides a tool that supports decision making in product development and projects. This work evaluates the integrated use of the QFD and VA tools. Employing a survey that was carried out which intended to reveal the young male consumers’ requirements concerning a sports bicycle.

Details

International Journal of Quality & Reliability Management, vol. 21 no. 2
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 7 September 2015

Regina A. Sanches, João Paulo Pereira Marcicano, Maria Silvia Barros de Held, Bárbara Maria Gama Guimarães, Raquel Seawright Alonso, Karina Mitie Takamune, Adriana Yumi Sato Duarte and Franco Giuseppe Dedini

The purpose of this paper is to present a comparative study on the characteristics of knitted fabrics used in the manufacturing of apparel, which are produced from organic cotton…

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Abstract

Purpose

The purpose of this paper is to present a comparative study on the characteristics of knitted fabrics used in the manufacturing of apparel, which are produced from organic cotton, lyocell and soybean protein fiber (SPF). It is important for both the environment and society that textile industry continues to adopt more ecofriendly materials and furthermore, pushes to increase awareness regarding these material choices available to the consumer and the corresponding impacts of consumers’ decisions. The use of sustainable fibers may be a starting point for changing the industrial paradigm of the textile industry.

Design/methodology/approach

The research presented herein analyzes the potential use of three raw materials used in the development of knitted fabrics: organic cotton, lyocell and SPF. The experimental trials, based on norms, determined the weight, pilling, rupture pressure resistance, absorption by capillarity, dimensional alteration and elasticity. The significance of the experimental results was verified through the analysis of variance, with a confidence interval of 95 percent (p=0.05) and the determination of the optimal regulation of the machine was made through an analysis of the response surface.

Findings

The results indicate that each of the studied materials are suitable for textile application; however, the fabrics manufactured from soybean yarn, compared to those manufactured from organic cotton or lyocell, have a higher potential to meet the needs of the costumer.

Social implications

The discussion regarding sustainability is far reaching on the ways it interacts with human life. As such, the latent need for meeting this new demand presents a unique opportunity for the development of new processes and products. In the case of the textile industry, initiatives are gradually being adopted that make the processes used by the supply chain less damaging to the environment. Clothing and fashion are highly visible elements of society, so consequently, the textile industry serves as an excellent candidate for promoting a sustainable and eco-friendly mindset.

Originality/value

The incorporation of sustainable fibers can serve as a starting point for change to the industrial paradigm existing within the textile industry. To this point, this study intended to analyze the potential implementation of three raw materials – organic cotton, lyocell and SPF – in the development of knitted fabrics. The results indicated that these materials are adequate for textile applications.

Details

International Journal of Clothing Science and Technology, vol. 27 no. 5
Type: Research Article
ISSN: 0955-6222

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