Monitoring shrimp growth with control charts in aquaculture

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Arakaki, Natalia
Carbajal, Patricia
Perez-Araneda, Karla
Tellier, Florence
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Elsevier Ltd
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This work proposes a method for the statistical monitoring of the weekly weight of shrimp in a fish farm. The design of control charts for shrimp growth presents several challenges, the main ones being the presence of trend and autocorrelation. Several control charts are proposed, the most efficient being a chart based on the residuals of a second order autoregression whose parameters vary with the week. A control chart with less computational complexity is also provided. It is simply based on growth rates and works well at detecting negative weight changes. Real data from a large shrimp farm has been used for both the design and the evaluation.
The data used in this work was provided by the Ecosac fish farm. The authors wish to express their appreciation for this and for all the support throughout the investigation, especially to the production engineer Grover Cedillo. This research has received financial support from the government of Peru, under contract 49-2018 of the project Proyecto de Mejoramiento y Ampliacion de los Servicios del Sistema Nacional de Ciencia, Tecnologia e Innovacion Tecnologica 8682PE, of the CON-CYTEC/FONDECYT/World Bank Group.
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Statistical process control