Inferential statistics models to relate the rejections of an engine cold testing and the machining defects in camshaft assembly bores

Abstract

In the manufacturing industry it is of great importance to reduce machining deviations as soon as possible to avoid cost associated with reworks. The definition of mathematical models that predict future errors in the machining of components of combustion engines, it is a way that helps to save time and money in a process.
 This paper proposes the analysis and establishment of correlations between the deviations of the machining in cylinder heads and the rejections of an engine cold testing in an automotive manufacturing company. To determine the relationships, a sample of heads and engines were measured in a period of two months and using inferential statistics, statistical models were established. The above was in order to ensure product quality and implement a methodology in the company for manufacturing problem solving.