Extended FMEA for Sustainable Manufacturing: An Empirical Study in the Non-Woven Fabrics Industry

Nguyễn, Thanh Lâm; Shu, Ming‐Hung; Hsu, Bi‐Min

doi:10.3390/su8090939

Cited by 44 publications

(23 citation statements)

References 56 publications

(62 reference statements)

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“…To fulfill this gap, Nguyen et al [25] proposed an extension by considering the associated quality costs and the capability of a failure detection system as additional determinants to signify the priority level for each failure mode. Analytical results indicated that the proposed approach remarkably reduced the percentage of defective fabrics, thus significantly reducing wastes and increasing the operational efficiency.…”

Section: Competitive and Sustainable Manufacturing Approachesmentioning

confidence: 99%

Competitive and Sustainable Manufacturing in the Age of Globalization

Chen

2016

Sustainability

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Abstract:Competitiveness is the ability and performance of a firm, subsector or country to sell or supply goods or services in a given market. The competitiveness and sustainability of an enterprise are closely related. Competitiveness has received ever-growing attention in the era of globalization. This Special Issue provides a forum for researchers and practitioners to review and disseminate quality research work on competitive and sustainable manufacturing in the era of globalization and their applications, and to identify critical issues for further developments.

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Section: Competitive and Sustainable Manufacturing Approachesmentioning

confidence: 99%

Competitive and Sustainable Manufacturing in the Age of Globalization

Chen

2016

Sustainability

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“…Detection absolutely certain to detect --------> no control exists Source: (Nguyen et al, 2016) The calculation procedures of DEMATEL can be summarized into the following steps (Tsai et al, 2017;Chen et al, 2016;Deng et al, 2014;Luthra et al, 2016;):…”

Section: No Aspect 1 Rating Values --------> 10mentioning

confidence: 99%

Using the Dematel Model for the FMEA Risk Analysis

Bujna

Kotus

Matušeková

2019

System Safety: Human - Technical Facility - Environment

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Technological progress has brought a large amount of complex machinery into the work processes, which represents a potential source of serious injuries, accidents, or breakdowns. The aim of this paper is to follow new trends in the FMEA and their use in our study. We have chosen the Turning Machine Doosan V-Puma Doosan PUMA V550R Machining Centre with manufacturing diameters and mechanical machining operations. We have created the FMEA team, which participated in the entire evaluation and analysis. We identified possible failures and causes of failures in the given operations. We applied the conventional PFMEA and identified the RPN risk number. We also used DEMATEL model. Using DEMATEL matrices, we identified a binding between the individual failures and the causes of the failures. Some failures will become the main cause of other failures and the causes of the failures; some arise as a result of other failures or causes of failures. Finally, we evaluated the applicability of individual methods and models. By the DEMATEL model we clarified the significance and bindings between individual failures.

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“…Step 2.6: Based on Equations (16)- (18), the elements of failure modes that need to be modified are determined to be: AES = {(2,1,1), (2,1,3), (2,4,1), (2,4,2), (2,4,3), (2,5,1), (2,5,2), (2,5,3), (2,6,3), (2,7,2), (2,8,1), (2,8,2), (2,8,3), (3,2,2), (3,2,3), (3,3,1), (3,3,2), (3,4,1), (3,4,2), (3,4,3), (3,6,1), (3,6,2), (3,7,1), (3,7,2), (3,7,3), (3,8,2), (3,9,1), (3,9,2)}.…”

Section: Failure Modes Severity(s) Occurrence(o) Detection(d)mentioning

confidence: 99%

“…As a formal system analysis approach, the technique of FMEA was originally proposed in the 1960s, and was intended to satisfy the aerospace industry's apparent safety and reliability requirements [4]. Since then, the FMEA method has been successfully used in various industries as a simple and powerful tool to enhance the safety and reliability of products, systems, and processes in industry, such as the aerospace [5], energy [6], heath care and hospital [7], and manufacturing industries [8].…”

Section: Introductionmentioning

confidence: 99%

Failure Mode and Effects Analysis Considering Consensus and Preferences Interdependence

Zhu

Wang

2018

Algorithms

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Failure mode and effects analysis is an effective and powerful risk evaluation technique in the field of risk management, and it has been extensively used in various industries for identifying and decreasing known and potential failure modes in systems, processes, products, and services. Traditionally, a risk priority number is applied to capture the ranking order of failure modes in failure mode and effects analysis. However, this method has several drawbacks and deficiencies, which need to be improved for enhancing its application capability. For instance, this method ignores the consensus-reaching process and the correlations among the experts' preferences. Therefore, the aim of this study was to present a new risk priority method to determine the risk priority of failure modes under an interval-valued Pythagorean fuzzy environment, which combines the extended Geometric Bonferroni mean operator, a consensus-reaching process, and an improved Multi-Attributive Border Approximation area Comparison approach. Finally, a case study concerning product development is described to demonstrate the feasibility and effectiveness of the proposed method. The results show that the risk priority of failure modes obtained by the proposed method is more reasonable in practical application compared with other failure mode and effects analysis methods.Algorithms 2018, 11, 34 2 of 24 of limitations. Numerous alternative methods have been presented in the literature to handle some of these drawbacks [2], which could explain why focusing on these shortcomings can improve the performance of traditional FMEA. However, many practical application cases have suggested that the ranking results determined by these alternative methods are not reliable and suffer from drawbacks in some situations. The main reasons are the assumption that the experts' preferences are independent and the team of experts have reached a consensus before aggregating the experts' preferences. Therefore, it is worth studying the problem of how to determine effectively the risk priority of failure modes without considering these two assumptions.It is very important for an FMEA team to adopt a suitable aggregation method to aggregate the experts' preferences into a collective evaluation matrix before determining the failure modes ranking. Many aggregation methods that assume that experts' preferences are independent have been applied to aggregate the experts' preferences. In practice, the FMEA team experts come from different departments or industries, and their subjective preferences, which are often influenced by social, power, knowledge, and other factors, usually indicate some interdependent characteristics. On the one hand, the geometric Bonferroni mean (GBM) initially proposed by Xia et al. [9] is an efficient operator to deal with the aggregation of interdependent arguments. The GBM operator has a prominent characteristic that can easily capture the interrelationships among input arguments [9]. Therefore, it is significant to integrate the experts' preferences...

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Extended FMEA for Sustainable Manufacturing: An Empirical Study in the Non-Woven Fabrics Industry

Cited by 44 publications

References 56 publications

Competitive and Sustainable Manufacturing in the Age of Globalization

Competitive and Sustainable Manufacturing in the Age of Globalization

Using the Dematel Model for the FMEA Risk Analysis

Failure Mode and Effects Analysis Considering Consensus and Preferences Interdependence

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