Paper Info
Title
On designing an efficient control chart to monitor fraction nonconforming
Abstract
Process control measures are mostly applied in production and manufacturing industries. The most important tool used in these disciplines is control chart. In manufacturing and production processes, when the quality characteristic of interest cannot be directly measured, it becomes essential to apply attribute control charts. To monitor fraction nonconforming of the output, quality practitioners mostly prefer p-chart. In this article, a new progressive mean (PM) control chart is being proposed for monitoring drift in proportion of nonconforming products. The design evaluations of the proposed chart are made and compared through different properties of run length distribution, such as average run length (ARL), standard deviation of run length (SDRL), and some percentile points. The performance of the proposed chart is assessed under zero-state and steady-state scenarios. The proposed PM chart is compared with p-chart, moving average (MA) chart, optimal CUSUM chart, modified exponentially weighted moving average (EWMA) chart, and runs rules p-charts for monitoring fraction nonconforming. The proposed chart spots efficiently sustained disturbances in the process as compared with their existing counterparts. Two illustrative examples are also provided; one from real-life application of nonconforming bearing and seal assemblies data and the other from simulated data for the implementation of PM chart.
Year
DOI
Venue
2020
10.1002/qre.2590
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Keywords
Field
DocType
attribute,average run length,control charts,fraction nonconforming,p-chart,process,progressive mean
Average run length,Control chart,p-chart,Engineering,Statistics
Journal
Volume
Issue
ISSN
36.0
2.0
0748-8017
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Zameer Abbas101.01
hafiz zafar nazir2185.78
Noureen Akhtar302.70
Muhammad Abid44610.69
Muhammad Mohsin Riaz547586.44