Diagnosis and Quantification of Losses in the Logistical Management of Storage in the Commercialization of Fishery Products

Diagnosis and Quantification of Losses in the Logistical Management of Storage in the Commercialization of Fishery Products

• Alain Ulloa-Zaila Universidad de Sancti Spíritus “José Martí Pérez”, Sancti Spíritus, Cuba http://orcid.org/0000-0003-2304-6741
• Damaris Taydi Castillo-Jiménez Universidad de Sancti Spíritus “José Martí Pérez”, Sancti Spíritus, Cuba. https://orcid.org/0000-0003-0958-9256
• Dariel Rivadeneira-Casanueva Universidad de Sancti Spíritus “José Martí Pérez”, Sancti Spíritus, Cuba. https://orcid.org/0000-0001-5759-4805
• Orlando de la Cruz-Rivadeneira Empresa Pesquera de Sancti Spíritus “PESCASPIR”, Sancti Spíritus, Cuba https://orcid.org/0000-0002-8939-3730
• Elonay Lisandy Mederos-Yumar Universidad de Sancti Spíritus “José Martí Pérez”, Sancti Spíritus, Cuba http://orcid.org/0000-0003-1979-2979

DOI: https://doi.org/10.22209/rt.v44n3a05

Keywords: continuous improvement, logistic administration, loss quantification, storage logistic, quality

Abstract

The research was carried out in the commercialization unit of the fishing company of Sancti Spíritus where limitations in storage management were identified. To solve the identified problem, the objective was to implement a procedure for the diagnosis and quantification of losses in storage logistics management. The designed procedure contains a set of phases in which different methods and techniques are developed, such as the Delphi method, checklist, process flow diagram, modal analysis of failures and effects, control charts, histogram and Taguchi's loss function. As results, the following were obtained: the failures occurring inside the cold chamber with their risk priority levels; the temperature variable was determined to be outside the established control parameters; the capacity of the process in the cold chamber was calculated; and economic losses related to inefficiencies in storage were quantified. The research made it possible to detect the main causes that influence the unproductive storage logistics management of the organization, the associated losses and proposed measures for the solution of the problems identified.

References

Castillo-Jiménez, D. T., Gómez-Avilés, H. B., de la Cruz-Rivadeneira, O., Rivadeneira-Casanueva, D., López-Concepción, A., Rodríguez-Fernández, Y. (2021). Diagnóstico del sistema logístico de aprovisionamiento de la industria pesquera en Sancti Spíritus. Revista Técnica de la Facultad de Ingeniería de la Universidad del Zulia, 44(1), 21-28.

Duan, Y., Liu, J. (2019). Optimal dynamic pricing for perishable foods with quality and quantity deteriorating simultaneously under reference price effects. International Journal of Systems Science: Operations & Logistics, 6(4), 346-355.

FAO. (2012). Pérdidas y desperdicio de alimentos en el mundo. Alcance, causas y prevención. Roma: Food and Agriculture Organization of The United Nations (FAO).

Galindo-López, J., Fraga-Castro, I., Forrellat-Barrios, A., Pelegrín-Morales, E., Cruz-Quintana, Y., Álvarez-Capote, S., Rojas-Maset, G. (2009). Evaluación de diferentes relaciones de proteína animal y vegetal en la dieta de juveniles de camarón blanco Litopenaeus schmitti. Revista Cubana de Investigaciones Pesqueras, 26(1), 1-8.

Gao, A., Tian, Z., Wang, Z., Wennersten, R., Sun, Q. (2017). Comparison between the Technologies for food waste treatment. Energy Procedia, 105(1), 3915-3921.

Gutiérrez-Pulido, H., de la Vara-Salazar, R. (2008). Análisis y diseño de experimientos. México: McGraw-Hill.

Gutiérrez-Pulido, H., de la Vara-Salazar, R. (2009). Control estadístico de calidad y seis sigma. México: McGraw-Hill.

James, P. (1997). La gestión de la calidad total: un texto introductorio. Madrid, España: Prentice-Hall.

Kaufmann, L., Gaeckler, J. (2015). A structured review of partial least squares in supply chain management research. Purchasing and Supply Management, 21(1), 259-272.

Koldborg, T., Nielsen, J., Larsen, E., Clausen, J. (2013). The fish industry. Toward supply chain modeling. Journal of Aquatic Food Product Technology, 19(3), 214-226.

Lemma, Y., Kitaw, D., Gatew, G. (2014). Loss in perishable food supply chain: an optimization approach literature review. International Journal of Scientific & Engineering Research, 16(5), 302-308.

ONN NC 49:1981. (1981). Control de la calidad. Métodos de expertos. La Habana, Cuba: Oficina Nacional de Normalización (ONN).

ONN NC 492:2014. (2014). Almacenamiento de alimentos. Requisitos sanitarios generales. La Habana, Cuba. Oficina Nacional de Normalización (ONN).

Pulido, J. (2014). Gestión de la cadena de suministros. El último secreto. Caracas, Venezuela: Torino.

Sánchez, V., Hasbleidy, Z. (2014). Modelos y configuraciones de cadenas de suministro en productos perecederos. Revista Ingenieria y Desarrollo, 32(1), 138-154.

Xue, M., Zhang, J., Tang, W. (2014). Optimal temperature control for quality of perishable foods. ISA transactions, 53(2), 542-546.