dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2014-05-27T11:19:46Z | |
dc.date.accessioned | 2022-10-05T17:39:25Z | |
dc.date.available | 2014-05-27T11:19:46Z | |
dc.date.available | 2022-10-05T17:39:25Z | |
dc.date.created | 2014-05-27T11:19:46Z | |
dc.date.issued | 1999-10-01 | |
dc.identifier | Journal of Quality Technology, v. 31, n. 4, p. 387-397, 1999. | |
dc.identifier | 0022-4065 | |
dc.identifier | http://hdl.handle.net/11449/65859 | |
dc.identifier | 2-s2.0-0000093252 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3915724 | |
dc.description.abstract | Recent studies have shown that the X̄ chart with variable sampling intervals (VSI) and/or with variable sample sizes (VSS) detects process shifts faster than the traditional X̄ chart. This article extends these studies for processes that are monitored by both the X̄ and R charts. A Markov chain model is used to determine the properties of the joint X and R charts with variable sample sizes and sampling intervals (VSSI). The VSSI scheme improves the joint X̄ and R control chart performance in terms of the speed with which shifts in the process mean and/or variance are detected. | |
dc.language | eng | |
dc.relation | Journal of Quality Technology | |
dc.relation | 2.306 | |
dc.relation | 1,814 | |
dc.rights | Acesso restrito | |
dc.source | Scopus | |
dc.subject | Adjusted Average Time to Signal | |
dc.subject | Markov Chains | |
dc.subject | Statistical Process Control | |
dc.subject | Variable Sample Size | |
dc.subject | Variable Sampling Intervals | |
dc.title | Joint X̄ and R Charts with Variable Sample Sizes and Sampling Intervals | |
dc.type | Artigo | |