Abstract: 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.
Keywords: Hotelling T2 Multivariate Control Chart, Finite Horizon, Flexible Environments
Recieved: 11.09.2020 Accepted: 15.02.2021 UDC: 640.412:004.46