Resumo

DIAZ-CASTELLANOS, Elizabeth Eugenia; DIAZ- RAMOS, Carlos; BARROSO-MORENO, Luis Alberto  e  PICO-GONZALEZ, Beatriz. Development of a Mathematical Model for Multivariate Process by Balanced Six Sigma. Ing. invest. y tecnol. [online]. 2015, vol.16, n.3, pp.419-430. ISSN 2594-0732.

The Six Sigma methodology is widely used in business to improve quality, increase productivity and lower costs, impacting on business improvement. However, today the challenge is to use those tools for improvements that will have a direct impact on the differentiation of value, which requires the alignment of Six Sigma with the competitive strategies of the organization.Hence the importance of a strategic management system to measure, analyze, improve and control corporate performance, while setting out responsibilities of leadership and commitment. The specific purpose of this research is to provide a mathematical model through the alignment of strategic objectives (Balanced Scorecard) and tools for productivity improvement (Six Sigma) for processes with multiple answers, which is sufficiently robust so that it can serve as basis for application in manufacturing and thus effectively link strategy performance and customer satisfaction. Specifically we worked with a case study: Córdoba, Ver. The model proposes that is the strategy, performance and customer satisfaction are aligned, the organization will benefit from the intense relationship between process performance and strategic initiatives. These changes can be measured by productivity and process metrics such as cycle time, production rates, production efficiency and percentage of reprocessing, among others.

Palavras-chave : balanced scorecard; Six Sigma; multivariate statistics; organizational performance.