通过应用质量工具和模拟技术进行质量改进:一个中小企业的案例研究

Q3 Engineering
K. Soundararajan, K. J. Reddy
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引用次数: 0

摘要

近年来,研究人员指出,质量工具与仿真技术的结合在中小企业(SMEs)中的实施尚未得到检验。为了填补这一研究空白,本文采用DMAIC阶段进行了案例研究。通过本案例研究,防止了轴套凸轮零件铸件中微孔缺陷的发生。通过运用头脑风暴、因果分析、正态性检验和试验设计四种质量工具,建立轴套凸轮铸件的CAD模型,实现了这一目标。通过输入不同的设计参数值,利用该CAD模型对轴套凸轮铸件的热行为进行了仿真。在实际生产中实施了新的铸件设计,使缺陷率从8%降低到1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality improvement through the application of quality tools and simulation technique: a case study in a SME
During the recent years, researchers have been pointing out that the implementation of quality tools in conjunction with simulation technique has not yet been examined in small and medium enterprises (SMEs). With an aim of filling this research gap, the case study presented in this paper was carried out by applying DMAIC phases. After conducting this case study, the occurrence of micro-porosity defect in the castings of a component called bush cam was prevented. This goal was achieved by applying four quality tools namely, brainstorming, cause and effect analysis, normality test and design of experiments and developing the CAD model of bush cam casting. The thermal behaviour of bush cam casting was simulated using this CAD model by inputting different values of the design parameters. The new casting design was implemented in practice, which decreased the defect rate from 8% to 1%.
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来源期刊
International Journal of Six Sigma and Competitive Advantage
International Journal of Six Sigma and Competitive Advantage Engineering-Industrial and Manufacturing Engineering
CiteScore
2.00
自引率
0.00%
发文量
16
期刊介绍: Today, Six Sigma is recognised in many world class organisations as an effective means of achieving and maintaining operational excellence and competitive advantage. Six Sigma has proved to be successful in many manufacturing and service organisations to drive out variability from processes, improve process effectiveness and product/service quality, reduce defect rate, enhance customer satisfaction, etc. IJSSCA publishes papers that address Six Sigma issues from the perspectives of customers, industrial engineers, business managers, management consultants, industrial statisticians and Six Sigma practitioners.
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