Method of evaluation and quality control by means of Y performance curves and RPC curves of Six Sigma metrics of a concurrent system

The objective of this research was to evaluate and monitor a concurrent production system by means of Y performance curves and RPC curves. As a theoretical conception it articulated the concepts of concurrent production system, Six Sigma metrics, Y performance curves and RPC curves of Six Sigma metrics. The research was of basic type supported a rational, quantitative, propositive analysis structured in mathematics, statistics, multivariable statistical control, curves and operation of Y performance and of average performance of RPC run of Six Sigma metrics. As a result, Y-performance curves and RPC Average Run Performance curves are proposed to evaluate and control the concurrent system. Additionally, it was determined that the best performing process is 1, with a sigma level ranging between 4.15 <Z<5.28, which allows an increase in Y performance of 99.61% and 99.99%. As future research it is invited to replicate the proposed method in other business contexts integrating other multivariable statistical control tools and Six Sigma.