A new cumulative sum control chart for monitoring the process mean using varied L ranked set sampling. (17th February 2018)

• Record Type: Journal Article
• Authors: Awais, Muhammad; Haq, Abdul
• Is Part Of: Journal of industrial and production engineering. Volume 35:Number 2(2018)
• Page Start: 74
• Page End: 90
• Publication Date: 2018-02-17
• Subjects: Average run length -- cumulative sum -- control chart -- perfect and imperfect rankings -- statistical process control; Industrial engineering -- Periodicals; Production engineering -- Periodicals; 620
• DOI: 10.1080/21681015.2017.1417787
• Languages: English
• ISSNs: 2168-1015

Abstract

Abstract: Recently, a varied L ranked set sampling (VLRSS) scheme has been introduced in the literature for estimating the population mean. The VLRSS scheme is a cost-efficient alternative to the classical ranked-set sampling (RSS) and median RSS (MRSS) schemes. In this paper, we construct a new cumulative sum (CUSUM) control chart for efficiently monitoring the process mean using VLRSS, named the CUSUM-VLRSS chart. The CUSUM-VLRSS chart encompasses the existing CUSUM charts based on RSS and MRSS schemes, named the CUSUM-RSS and CUSUM-MRSS charts. We use extensive Monte Carlo simulations to compute the run length characteristics of the proposed CUSUM chart. It is shown that the CUSUM-VLRSS chart is able to perform uniformly better than the CUSUM-RSS and CUSUM-MRSS charts when detecting different kinds of shift in the process mean. A similar trend is observed when the proposed CUSUM chart is constructed under imperfect rankings. A real data-set is also used to explain the implementation of the CUSUM-VLRSS chart.