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
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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