MULTIVARIATE CONTROL CHART WITH VARIABLE DIMENSIONS FOR FLEXIBLE PRODUCTION ENVIRONMENTS

• Main Authors: Douglas Corrêa Rodrigues, Lucas Schmidt Goecks, Taciana Mareth, André Luis Korzenowski
• Format: Article
• Language: English
• Published: Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia 2021-09-01
• Series: International Journal for Quality Research
• Subjects: hotelling t2 multivariate control chart; finite horizon; flexible environments
• Online Access: http://ijqr.net/journal/v15-n3/1.pdf

Multivariate statistical control usually applied in industries that operate in continuous production processes. Thus, the objective of this work is to present a procedure for statistical process monitoring in flexible environments, which have a finite production horizon and p correlated observed variables. A systematic review of the literature on control charts conducted. Subsequently, a model proposition built and a simulation process performed; Thus, a method was conceived, which then validated through the Monte Carlo simulation. As an application of the proposed method, a case study was carried out in a metal-mechanic company in southern Brazil, which operates in the vertical transport segment. The results demonstrated the efficiency of the control chart in identifying and signaling out of control points, having a behavior similar to the expected behavior of its performance measure, ARL. The research contributes to the proposition of a multivariate control chart with variable dimensions for flexible production environments.