六西格玛方法在陶瓷行业某公司膏体制备领域的应用

Respuestas Pub Date : 2020-09-01 DOI:10.22463/0122820X.2825
Diana Carolina Alvarez-Rozo, O. Ortíz-Rodriguez, Ivanhoe Rozo-Rojas
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引用次数: 0

摘要

目前,有大量的质量改进技术,使企业难以决定采用哪种。本研究以某瓷砖制造公司的膏体制备区域为研究对象,这一阶段的结果直接反映在最终产品的质量上。总体目标是在陶瓷公司的膏体制备过程中应用六西格玛方法;同样,对陶瓷公司生产过程中膏体制备领域的变量进行测量,并对影响质量的原因进行评估。六西格玛方法的应用需要应用统计工具,因为术语西格玛代表分布的标准差,是了解其变异性的关键(Sharma, Bhardwaj, & Kumar, 2013)。实现的方法是DMAMC周期中提出的方法:设计、测量、分析、改进和控制或DMAIC(定义、测量、分析、改进和控制)。为面食制备区域的三个阶段:原料、研磨和雾化建立了关键质量变量。将工艺试验中获得的数据以表格和图表的形式组织起来,使用Minitab和SPSS对结果进行定性和定量分析。由此得出膏体制备区域的评价,以及原料阶段不同变量的处理能力,除火灾损失和粘度变量外,均超过95%。对于研磨阶段,变粘度(Z = 1.45),加工能力约为85%。有统计学上的显著差异。最后,雾化阶段的变量具有较高的处理能力,达到98%。
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Application of the six sigma methodology in the area of paste preparation of a company in the ceramic sector
At present, there are a large number of quality improvement techniques, making it difficult for companies to decide which to apply. In this research, the paste preparation area of ​​a ceramic tile manufacturing company was studied, and the result of this stage is directly reflected in the quality of the final product. The general objective was to apply the Six Sigma methodology in the paste preparation process of a ceramic company; likewise, to evaluate the measurements of the variables that intervene in the paste preparation area of ​​the productive process of a ceramic company and the causes that affect the quality. The application of the six sigma methodology requires the application of statistical tools because the term sigma represents the standard deviation of a distribution and is key to know its variability (Sharma, Bhardwaj, & Kumar, 2013). The implemented methodology is the one proposed in the DMAMC cycle: Design, Measurement, Analysis, Improvement, and Control or DMAIC (Define, Measure, Analyze, Improve, and Control). The critical quality variables were established for each of the three stages of the pasta preparation area: raw materials, grinding, and atomization. The data obtained in the technological tests were organized in tables and graphs, to analyze the results qualitatively and quantitatively, using Minitab and SPSS. As a result, the evaluation of the paste preparation area is obtained, as well as the processing capacity of the different variables of the raw material stage, which exceeds 95%, except for the variables of loss by fire and viscosity. As for the grinding stage, the variable viscosity (Z = 1.45), with a processing capacity equivalent to approximately 85%. There are statistically significant differences. Finally, the variables of the atomization stage have a higher process capacity, 98%.
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