Residual-based MEWMA control charts in the presence of multicollinearity

Title

Residual-based MEWMA control charts in the presence of multicollinearity

Creator

Nancy, M.; Joshi, Hemlata

Description

Statistical Process Control has been performing a critical role in attaining quality assurance from historic times to the modern era. Examining and governing the process variables involves rigorous stages and several control charts. The multivariate process is considered for a more comprehensive understanding of handling multiple correlated variables of the process. The study here focuses on the unique creation and deployment of residual-based Multivariate Exponentially Weighted Moving Average control charts in the presence of multicollinearity, specially constructed and evaluated for Phase I and Phase II. The chart offers a reliable framework for understanding shifts in multivariate processes across time from minor to moderate changes in process parameters. Agro-Economy data of Indian States for the years 2019 and 2020 are utilized in an application example. The proposed residual-based MEWMA control charts detect out-of-control circumstances with few false alarms and this is critical for rapid interventions, resulting in optimal crop management and production. 2025, Prince of Songkla University. All rights reserved.

Source

Songklanakarin Journal of Science and Technology;Volume;47;Issue;6;pp.438-444

Date

01-01-2025

Publisher

Prince of Songkla University

Subject

control charts; multivariate exponentially weighted moving average; phase I; phase II; quality control

Coverage

Nancy M., Department of Statistics and Data Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India, Department of Statistics, School of Computational and Physical Sciences, Kristu Jayanti (Deemed to be University), Karnataka, Bengaluru, 560077, India; Joshi H., Department of Statistics and Data Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 1253395;

Format

online

Language

English

Type

Article

Identifier

https://www.scopus.com/pages/publications/105029467826?origin=resultslist