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通过试验设计优化投料和改善工艺过程是生产管理中经常采用的做法,产生了巨大的社会经济效益。正交试验设计首先是产生数据的计划,然后用统计方法对这些数据进行分析,目的是要从数据的考察中发现人们感兴趣的因素对试验结果的影响程度,以便采取相应的行动方案。本文针对一个研究专案,讨论了正交试验因素及各个因素试验水平的确定过程,并依据实际数据对多个产品质量特性的影响因素进行了分析,在此基础上得出了加强产品质量影响因素控制的相关建议。
Optimizing feeding through experimental design and improving the process are the practices often used in production management, resulting in huge social and economic benefits. Orthogonal experimental design is the first to generate data plans, and then use statistical methods to analyze these data, the purpose is to find out from the data of the people interested in the impact of the experimental results, in order to take the appropriate action plan. Based on a research project, this paper discusses the process of determining the orthogonal test factors and the experimental levels of various factors. Based on the actual data, the factors affecting the quality characteristics of multiple products are analyzed. Based on this, Related suggestions for control.