On improved monitoring of linear profiles under modified successive sampling
Author | Riaz M. |
Author | Mahmood T. |
Author | Abbas N. |
Author | Abbasi S.A. |
Available date | 2020-04-01T09:45:59Z |
Publication Date | 2019 |
Publication Name | Quality and Reliability Engineering International |
Resource | Scopus |
ISSN | 7488017 |
Abstract | Control charts are often used for the monitoring of quality characteristics of interest. There may exist some other characteristics that are associated with the main quality characteristic. A model that quantifies the relationship between them is termed as a profile, for instance, the relation between charge and capacitance. The monitoring of the main variable that is linearly related with an associated explanatory variable is termed as simple linear profiles' monitoring. It is a common practice to use simple random sampling (SRS) for profile monitoring. This study intends to enhance profile monitoring by considering modified successive sampling (MSS) approach. The performance of the existing and the proposed schemes are evaluated using the well-known metrics average run length. The comparative analysis revealed that the proposed structure outperforms the existing ones in terms of efficiency. A real application from electrical engineering is used to show the implementation of our proposal in practice. - 2019 John Wiley & Sons, Ltd. |
Sponsor | The authors are thankful to the anonymous reviewer for the constructive comments that helped in improving the last version of the paper. The authors are also like to acknowledge the support provided by the Deanship of Scientific Research (DSR) at King Fahd University of Petroleum & Minerals (KFUPM) for funding this work through project No. IN171016. |
Language | en |
Publisher | John Wiley and Sons Ltd |
Subject | average run length control charts modified successive sampling phase II analysis process monitoring |
Type | Article |
Pagination | 2202-2227 |
Issue Number | 7 |
Volume Number | 35 |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
-
Mathematics, Statistics & Physics [740 items ]