info:eu-repo/semantics/article
UNDERSTANDING AND REDUCING PROCESS VARIATION ON MANUFACTURING APPLICATIONS
Autor
Pedro Pérez Villanueva
Resumen
Manufacturing processes are always changing along industries because of costs reduction, new supplier’s evaluation, quality improvement or introduction of new products. Between these activities, acquiring new machinery and tooling is a usual activity. A common problem that most of industries must afford is how to make sure this tooling or machinery will met the quality and manufacturing specifications trough the program execution, referring to process output, one of the most important issues is process variation, it is required to understand, analyze and reduce it otherwise the product to be manufactured will have a high probability of being out of specifications. The consequences of an improper definition, execution and acceptance process will be reflected on production problems because of time or costs impact and poor quality results. There are some methods and statistical tools that help engineers analyzing data from any kind of manufacturing process in order to analyze it. Process capability is an indicator that determines if the process will be capable or not of complying specifications, measuring and comparing mean values as well as standard deviation, standardized Z value is used to estimate the probability of defective parts, usually expressed as parts per million. In this case we applied quality control tools and statistical analysis as Múltiple Linear Regressions, Anova analysis, Variation contributions to define, execute and implement a new process on an appliance manufacturing plant that met the target objective for its process capability of 3,4 parts per million defective planned at the beginning of the program.