dc.creator | HO, Linda Lee | |
dc.creator | TRINDADE, Anderson Laecio Galindo | |
dc.date.accessioned | 2012-10-19T01:48:07Z | |
dc.date.accessioned | 2018-07-04T14:52:22Z | |
dc.date.available | 2012-10-19T01:48:07Z | |
dc.date.available | 2018-07-04T14:52:22Z | |
dc.date.created | 2012-10-19T01:48:07Z | |
dc.date.issued | 2009 | |
dc.identifier | INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, v.120, n.2, p.613-624, 2009 | |
dc.identifier | 0925-5273 | |
dc.identifier | http://producao.usp.br/handle/BDPI/18827 | |
dc.identifier | 10.1016/j.ijpe.2009.04.012 | |
dc.identifier | http://dx.doi.org/10.1016/j.ijpe.2009.04.012 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1615619 | |
dc.description.abstract | The aim of this paper is to present an economical design of an X chart for a short-run production. The process mean starts equal to mu(0) (in-control, State I) and in a random time it shifts to mu(1) > mu(0) (out-of-control, State II). The monitoring procedure consists of inspecting a single item at every m produced ones. If the measurement of the quality characteristic does not meet the control limits, the process is stopped, adjusted, and additional (r - 1) items are inspected retrospectively. The probabilistic model was developed considering only shifts in the process mean. A direct search technique is applied to find the optimum parameters which minimizes the expected cost function. Numerical examples illustrate the proposed procedure. (C) 2009 Elsevier B.V. All rights reserved. | |
dc.language | eng | |
dc.publisher | ELSEVIER SCIENCE BV | |
dc.relation | International Journal of Production Economics | |
dc.rights | Copyright ELSEVIER SCIENCE BV | |
dc.rights | restrictedAccess | |
dc.subject | Short-run production | |
dc.subject | On-line process control | |
dc.subject | Process control for variables | |
dc.subject | Markov chain | |
dc.title | Economic design of an X chart for short-run production | |
dc.type | Artículos de revistas | |