A Robust Control Chart for Monitoring Autocorrelated Multiple Linear Profiles in Phase I

Phase-I monitoring of standard deviations in multistage linear profiles

In most modern manufacturing systems, products are often the output of some multistage processes. In these processes, the stages are dependent on each other, where the output quality of each stage depends also on the output quality of the previous stages. This property is called the cascade property. Although there are many studies in multistage process monitoring, there are fewer works on prof...

A Self-starting Control Chart for Simultaneous Monitoring of Mean and Variance of Simple Linear Profiles

In many processes in real practice at the start-up stages the process parameters are not known a priori and there are no initial samples or data for executing Phase I monitoring and estimating the process parameters. In addition, the practitioners are interested in using one control chart instead of two or more for monitoring location and variability of processes. In this paper, we consider a s...

Control Chart for Monitoring Autocorrelated Process with Multiple Exogenous Inputs

Control Chart for Monitoring Autocorrelated Process with Multiple Exogenous Inputs Sofia Criselda A. Poblador Ma. & Erniel B. Barrios Ph.D. Prof. a University of the Philippines Manila, Manila, Philippines, Email: b University of the Philippines Diliman, School of Statistics, School of Statistics Building, Magsaysay Ave., Diliman, Quezon City, 1101 Philippines, Email: Accepted author version po...

Robust Holt-Winter based control chart for monitoring autocorrelated simple linear pro les with contaminated data

Providing comprehensive control chart for monitoring of linear and nonlinear profiles using functional data analysis.

Considering profiles as functional variables, two control charts are proposed for their monitoring in phase II. Due to its conformity with the nature of real-world profiles, applying functional model leads to proposed control charts obtained through functional data analysis techniques with desired features. These include simplicity in calculation and possibility of using them for different prof...