论文标题
使用统计方法优化制造过程
Manufacturing Process Optimization using Statistical Methodologies
论文作者
论文摘要
论文中引入的响应表面方法（RSM）（Box＆Wilson，1951）探讨了复杂设置中的解释性和响应变量之间的关系，并提供了一个框架，以确定解释变量的正确设置以产生所需的响应。 RSM涉及设置顺序实验设计，然后应用基本优化方法来识别响应的改进方向。在本文中，为柴油发动机喷嘴制造子制品提供了使用两因素两级中央复合设计（CCD）的RSM应用。分析表明，其中一个因素在改善响应的所需值方面具有重大影响。 RSM的实现是使用R软件中的DOE插件完成的。
Response Surface Methodology (RSM) introduced in the paper (Box & Wilson, 1951) explores the relationships between explanatory and response variables in complex settings and provides a framework to identify correct settings for the explanatory variables to yield the desired response. RSM involves setting up sequential experimental designs followed by application of elementary optimization methods to identify direction of improvement in response. In this paper, an application of RSM using a two-factor two-level Central Composite Design (CCD) is explained for a diesel engine nozzle manufacturing sub-process. The analysis shows that one of the factors has a significant influence in improving desired values of the response. The implementation of RSM is done using the DoE plug-in available in R software.
