Improved Control Charts for Phase II Monitoring of Simple Linear Profiles Using Auxiliary Information

Document Type : Article

Authors

1 Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran

2 Industrial Engineering Group, Golpayegan College of Engineering, Isfahan University of Technology, Golpayegan 87717-67498, Iran

3 Department of Industrial Engineering, Faculty of Engineering, University of Qom, Iran

Abstract

In some manufacturing or non-manufacturing systems, the process outcome is better characterized by a relationship between a main variable and some associated supporting variables. The monitoring of this functional relationship over time is termed as profile monitoring. This study aims to improve Phase II monitoring of simple linear profiles by using auxiliary information which is correlated with the main variable. To accomplish that, using a mean estimator, two auxiliary information-based (AIB) control charts namely AIB-MEWMA and AIB-DMEWMA charts are proposed for detecting different shifts in model parameters. Using two numerical examples based on simulation studies, the sensitivity of the proposed control charts is evaluated and compared with the existing MEWMA and DMEWMA charts in terms of the average run length (ARL) metric. The results of simulations reveal that the proposed charts perform better than the existing MEWMA and DMEWMA charts. The applicability of the proposed control charting methods is demonstrated using a real-life data example from the cylinder production process.

Keywords

Scientia Iranica

Articles in Press, Accepted Manuscript
Available Online from 09 January 2023

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