Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/104990
Title: | An optimal design algorithm of the SPRT chart for minimizing weighted ATS | Authors: | Ou, Yanjing Wu, Zhang Lee, Ka Man Chen, Songlin |
Issue Date: | 2012 | Source: | Ou, Y., Wu, Z., Lee, K. M., & Chen, S. (2012). An optimal design algorithm of the SPRT chart for minimizing weighted ATS. International Journal of Production Economics, 139(2), 564-574. | Series/Report no.: | International journal of production economics | Abstract: | The Sequential Probability Ratio Test (SPRT) chart is a very effective control chart. It is much faster to detect out-of-control cases compared with the and CUSUM charts, even their VSSI (Variable Sample Sizes and Sampling Intervals) versions. The new contribution of this paper is the development of an algorithm for the optimal design of the SPRT chart based on the Average Extra Quadratic Loss (AEQL). More importantly, the results of the systematic comparative studies show that this design algorithm is indeed effective. Using the design algorithm proposed here yields charts that significantly outperform other designs in terms of the proposed AEQL performance criteria for detecting process mean shifts. Moreover, this paper conducts a designed experiment to study the effect of the Average Sample Number (ASN) (i.e., the average sample size) on the chart's performance. It is found that, in order to achieve higher overall detection effectiveness, the ASN of the SPRT chart should be set substantially smaller compared with that recommended by the existing guidelines. | URI: | https://hdl.handle.net/10356/104990 http://hdl.handle.net/10220/16798 |
ISSN: | 0925-5273 | DOI: | 10.1016/j.ijpe.2012.05.031 | Schools: | School of Mechanical and Aerospace Engineering | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | MAE Journal Articles |
SCOPUSTM
Citations
20
19
Updated on Mar 28, 2024
Web of ScienceTM
Citations
20
14
Updated on Oct 27, 2023
Page view(s) 20
709
Updated on Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.