A Case Study on Implementation of Mahalanobis-Taguchi System for Multivariate Manufacturing Process Control

By : Sagar Sikder, Indrajit Mukerjee, Subhash Chandra Panja

Page No: 61-71

Abstract
In manufacturing process, quality of an end product or component is often assessed by multiple critical output characteristics (or responses). These responses are often correlated or interacting. Change in process setting condition, with an intension to improve a particular response characteristic, may adversely affect another response. In this context, researchers had proposed various parametric and nonparametric Multivariate Statistical Process Control (MSPC) charts for monitoring of correlated responses and detecting out-of-control signal. However, there is little evidence of nonparametric MSPC research to identify influential response(s) for any out-of-control situation in a manufacturing process. In this paper, Mahalanobis-Taguchi System (MTS), based on Mahalanobis Distance (MD) scale and Taguchi’s Orthogonal Array (OA) design, is explored for detecting out-ofcontrol state and identify influential response(s) for an out-of-control state. Suitability of the approach is verified using a manufacturing process case study.

Authors :
Sagar Sikder
SQC & OR Unit, Indian Statistical Institute, Mumbai, India.

Iindrajit Mukerjee
Shailesh J. Mehta School of Management, IIT Bombay, India.

Subhash Chandra Panja
Department of Mechanical Engineering, Jadavpur University, Kolkata, India.

DOI: DOI-https://doi.org/10.32381/IAPQRT.2018.43.01.4