A DMAIC Integrated Fuzzy FMEA Model: A Case Study in the Automotive Industry

失效模式及影响分析 模糊逻辑 DMAIC公司 汽车工业 可靠性工程 计算机科学 风险分析(工程) 质量(理念) 六西格玛 工程类 人工智能 制造工程 哲学 认识论 精益制造 航空航天工程 医学
作者
Radu Godina,Beatriz Gomes Rolis Silva,Pedro Espadinha-Cruz
出处
期刊:Applied sciences [Multidisciplinary Digital Publishing Institute]
卷期号:11 (8): 3726-3726 被引量:23
标识
DOI:10.3390/app11083726
摘要

The growing competitiveness in the automotive industry and the strict standards to which it is subject, require high quality standards. For this, quality tools such as the failure mode and effects analysis (FMEA) are applied to quantify the risk of potential failure modes. However, for qualitative defects with subjectivity and associated uncertainty, and the lack of specialized technicians, it revealed the inefficiency of the visual inspection process, as well as the limitations of the FMEA that is applied to it. The fuzzy set theory allows dealing with the uncertainty and subjectivity of linguistic terms and, together with the expert systems, allows modeling of the knowledge involved in tasks that require human expertise. In response to the limitations of FMEA, a fuzzy FMEA system was proposed. Integrated in the design, measure, analyze, improve and control (DMAIC) cycle, the proposed system allows the representation of expert knowledge and improves the analysis of subjective failures, hardly detected by visual inspection, compared to FMEA. The fuzzy FMEA system was tested in a real case study at an industrial manufacturing unit. The identified potential failure modes were analyzed and a fuzzy risk priority number (RPN) resulted, which was compared with the classic RPN. The main results revealed several differences between both. The main differences between fuzzy FMEA and classical FMEA come from the non-linear relationship between the variables and in the attribution of an RPN classification that assigns linguistic terms to the results, thus allowing a strengthening of the decision-making regarding the mitigation actions of the most “important” failure modes.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
YY发布了新的文献求助10
5秒前
7秒前
Keto完成签到 ,获得积分10
10秒前
12秒前
李爱国应助ZZH采纳,获得10
14秒前
14秒前
16秒前
makimaki发布了新的文献求助10
17秒前
科研通AI2S应助YY采纳,获得10
18秒前
张小咩咩完成签到 ,获得积分10
18秒前
19秒前
20秒前
探子安发布了新的文献求助10
21秒前
wuxinbai应助默默的绾绾采纳,获得10
23秒前
斯文败类应助北北采纳,获得10
23秒前
yf完成签到,获得积分10
25秒前
du发布了新的文献求助10
25秒前
26秒前
学废了的阿C完成签到 ,获得积分10
29秒前
baibai发布了新的文献求助10
32秒前
mr发布了新的文献求助10
33秒前
35秒前
李俊枫发布了新的文献求助30
36秒前
Bystander完成签到 ,获得积分10
37秒前
无花果应助肖婷婷采纳,获得10
38秒前
39秒前
ice.sweet完成签到 ,获得积分10
41秒前
orixero应助娃娃哈采纳,获得30
42秒前
干净的夕阳完成签到,获得积分10
46秒前
WW完成签到,获得积分10
46秒前
鉴定为学计算学的完成签到,获得积分10
47秒前
小叮当完成签到,获得积分10
47秒前
49秒前
qwdqw发布了新的文献求助10
50秒前
50秒前
曾经曼梅发布了新的文献求助10
51秒前
52秒前
52秒前
WW发布了新的文献求助20
53秒前
55秒前
高分求助中
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
The Elgar Companion to Consumer Behaviour and the Sustainable Development Goals 540
The Martian climate revisited: atmosphere and environment of a desert planet 500
Images that translate 500
Transnational East Asian Studies 400
Towards a spatial history of contemporary art in China 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3844708
求助须知:如何正确求助?哪些是违规求助? 3387106
关于积分的说明 10547614
捐赠科研通 3107733
什么是DOI,文献DOI怎么找? 1711988
邀请新用户注册赠送积分活动 824242
科研通“疑难数据库(出版商)”最低求助积分说明 774644