EconPapers    
Economics at your fingertips  
 

Side-sensitive synthetic double sampling X control charts

Jean-Claude Malela-Majika and Eeva Maria Rapoo

European Journal of Industrial Engineering, 2019, vol. 13, issue 1, 117-148

Abstract: This paper develops two new synthetic double sampling (SDS) charts based on the revised side-sensitive (RSS) and modified side-sensitive (MSS) schemes for monitoring the location process parameter. In this paper, we first give the operation of the proposed charts and secondly, the exact form expression of the probability of declaring a sampling stage as 'conforming'. Thirdly, we investigate the zero-state and steady-state performances of the proposed charts in terms of the out-of-control average run-length, average sample size, average number of observations to signal and average extra quadratic loss. Finally, we compare the performance of the new charts with some well-known charts. It is observed that the proposed charts have attractive zero-state and steady-state properties and outperform the existing SDS chart and all other competing charts in many situations. An example of a real-life application is given to facilitate the design and implementation of the proposed charts. [Received: 28 February 2017; Revised: 14 March 2018; Revised: 28 August 2018; Accepted: 4 October 2018]

Keywords: average run-length; average sample size; extra quadratic loss function; side-sensitive scheme; steady-state mode; synthetic double sampling scheme; zero-state mode. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://www.inderscience.com/link.php?id=97934 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:eujine:v:13:y:2019:i:1:p:117-148

Access Statistics for this article

More articles in European Journal of Industrial Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2021-03-06
Handle: RePEc:ids:eujine:v:13:y:2019:i:1:p:117-148