Description
Dynamic VAR - Based Control Charts for Batch Process Monitoring.
Description
A set of control charts for batch processes based on the VAR model. The package contains the implementation of T2.var and W.var control charts based on VAR model coefficients using the couple vectors theory. In each time-instant the VAR coefficients are estimated from a historical in-control dataset and a decision rule is made for online classifying of a new batch data. Those charts allow efficient online monitoring since the very first time-instant. The offline version is available too. In order to evaluate the chart's performance, this package contains functions to generate batch data for offline and online monitoring.See in Danilo Marcondes Filho and Marcio Valk (2020) <doi:10.1016/j.ejor.2019.12.038>.
README.md
dvqcc: Dynamical VAR-model based control charts for batch processes
Package may be downloaded on CRAN
This package contains a set of control charts for online and offline monitoring data from batch processes based on the VAR (vector Autoregressive) model. These data can be read from external databases or simulated through the dvqcc package itself
The package contains functions for Dynamic VAR-model based Control Charts (Marcondes Filho, D., & Valk, M., 2020):
- Function to simulate datasets based on the VAR(1) model (without intercept). The dataset include in control batches and new batches for offline and online monitoring
- Offline and Online T2.var and W.var control charts for monitoring batch processes based on VAR model.