dc.creator | Ho, Linda Lee | |
dc.creator | Medeiros, Pledson Guedes de | |
dc.creator | Borges, Wagner | |
dc.date | 2023-04-05T21:14:47Z | |
dc.date | 2023-04-05T21:14:47Z | |
dc.date | 2007 | |
dc.date.accessioned | 2023-09-04T12:38:14Z | |
dc.date.available | 2023-09-04T12:38:14Z | |
dc.identifier | HO, Linda Lee; MEDEIROS, Pledson Guedes de; BORGES, Wagner. An alternative model for on-line quality monitoring for variables. International Journal of Production Economics, v. 107, p. 202-222, 2007. Disponível em: https://www.sciencedirect.com/science/article/pii/S0925527306002246. Acesso em: 05 abr. 2023. | |
dc.identifier | https://repositorio.ufrn.br/handle/123456789/52059 | |
dc.identifier | 10.1016/j.ijpe.2006.09.002 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8601516 | |
dc.description | An alternative model for an on-line monitoring process for variables is presented in this paper. The characteristic of interest follows a normal distribution and changes of the distribution parameters are described by a two-state Markov chain. Items are produced independently and a single item is examined at every m manufactured items similar to an on-line quality procedure to monitor process for variables previously presented by Taguchi et al. [1989. Quality Engineering in Production Systems. McGraw-Hill, New York]. The objective of this study is to determine the optimal sampling interval m and the optimal control limit d that minimizes the expected cost function. A program using S-PLUS was developed to compare Taguchi’s and the alternative proposal. The alternative model provides a better performance than Taguchi’s, since it yields a lower cost and feasible parameters (control limits and sampling interval). | |
dc.language | en | |
dc.publisher | International Journal of Production Economics | |
dc.rights | Acesso Aberto | |
dc.subject | Markov chain | |
dc.subject | On-line quality control for variables | |
dc.subject | Loss function | |
dc.title | An alternative model for on-line quality monitoring for variables | |
dc.type | article | |