Publicación:
Adaptive EWMA-S(2)control charts with adaptive smoothing parameter

dc.contributor.author Ugaz, Willy es_PE
dc.contributor.author Alonso, Andres M. es_PE
dc.contributor.author Sanchez, Ismael es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2020
dc.description.abstract Memory charts like EWMA-S(2)or CUSUM-S(2)are designed to detect a particular change in the process variance efficiently. However, the charts could be inefficient to detect some other shifts. To overcome this constraint, control charts with adaptive schemes that are efficient for a wide range of shifts can be used. This work proposes new adaptive EWMA charts for the dispersion (AEWMA-S-2) based on an adaptive smoothing parameter that relates its value to the potential shift of the process. A Markov chain approach is used to optimize its design. A simulation experiment shows the advantage of the proposed charts.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1080/08982112.2020.1776326
dc.identifier.uri https://hdl.handle.net/20.500.12390/2816
dc.language.iso eng
dc.publisher Informa UK Limited
dc.relation.ispartof QUALITY ENGINEERING
dc.rights info:eu-repo/semantics/openAccess
dc.subject Safety
dc.subject Industrial and Manufacturing Engineering es_PE
dc.subject Risk es_PE
dc.subject Reliability and Quality es_PE
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#2.11.04
dc.title Adaptive EWMA-S(2)control charts with adaptive smoothing parameter
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
Archivos