dc.creatorHo, Linda Lee
dc.creatorMedeiros, Pledson Guedes de
dc.creatorBorges, Wagner
dc.date2023-04-05T21:14:47Z
dc.date2023-04-05T21:14:47Z
dc.date2007
dc.date.accessioned2023-09-04T12:38:14Z
dc.date.available2023-09-04T12:38:14Z
dc.identifierHO, 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.identifierhttps://repositorio.ufrn.br/handle/123456789/52059
dc.identifier10.1016/j.ijpe.2006.09.002
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8601516
dc.descriptionAn 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.languageen
dc.publisherInternational Journal of Production Economics
dc.rightsAcesso Aberto
dc.subjectMarkov chain
dc.subjectOn-line quality control for variables
dc.subjectLoss function
dc.titleAn alternative model for on-line quality monitoring for variables
dc.typearticle


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