Journal article
Statistical CUSUM designs with minimum sampling cost
Quality technology & quantitative management, v 15(4), pp 475-483
01 Jan 2018
Abstract
We develop a method of designing CUSUM control charts that yields minimum sampling costs while meeting statistical constraints on the average time to signal when there is no assignable cause and the average time to signal when there is an assignable cause. We call this method statistical CUSUM design with minimum sampling costs. Numerical examples are given which show the dominance of this method over the usual statistical design method with the only disadvantage being the small additional effort to estimate sampling costs. The designs we compute are compared to recommended CUSUM statistical designs as well as economic statistical designs.
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Details
- Title
- Statistical CUSUM designs with minimum sampling cost
- Creators
- Erwin M. Saniga - University of DelawareDarwin Davis - University of DelawareThomas McWilliams - Drexel UniversityJames Lucas - James Lucas and Associates, Newark, DE, USA
- Publication Details
- Quality technology & quantitative management, v 15(4), pp 475-483
- Publisher
- Nctu-National Chiao Tung Univ Press
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000440608000003
- Scopus ID
- 2-s2.0-84986184335
- Other Identifier
- 991019167595004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Industrial
- Operations Research & Management Science
- Statistics & Probability