Publicación:
Within batch non-linear profile monitoring applied to shrimp farming: A case study

Página de artículo simple
dc.contributor.author Quevedo A.V. es_PE
dc.contributor.author Vegas S. es_PE
dc.contributor.author Loda J. es_PE
dc.contributor.author Cedillo G. es_PE
dc.contributor.author Vining G.G. 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 The operation of many batch processes involves critical characteristics that follow specific patterns over time. Sometimes the batch time is long enough that the operator can take corrective actions within it. This paper explores how to develop appropriate monitoring procedures for such situations within the context of a shrimp farming process. It uses a Gompetz non-linear model to describe the basic shrimp growth and defines the control limits through the prediction band around the estimated model. It proposes a method to generate a control chart soon enough within the batch so management can prioritize which ponds require the most attention. © 2021 Taylor & Francis Group, LLC.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1080/08982112.2020.1844894
dc.identifier.scopus 2-s2.0-85100196047
dc.identifier.uri https://hdl.handle.net/20.500.12390/2630
dc.language.iso eng
dc.publisher Bellwether Publishing, Ltd.
dc.relation.ispartof Quality Engineering
dc.rights info:eu-repo/semantics/openAccess
dc.subject within batch monitoring
dc.subject Non-linear profile es_PE
dc.subject profile monitoring es_PE
dc.subject shrimp growth es_PE
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#2.02.04
dc.title Within batch non-linear profile monitoring applied to shrimp farming: A case study
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
Archivos
Colecciones
1.1 Eventos institucionales
 6.1 Proyectos de investigación científica