Mathematical and stochastic models for inventory control in blood banks: literature review

Main Article Content

Jairo Arboleda Zúñiga

Abstract

This article presents a literature review of the various methodologies used in the construction of some of the most important mathematical and stochastic models that allow the control of inventory in blood banks -perishable product of high impact in the conservation of life of human beings-. This review was carried out using seventy bibliographical references of the most outstanding investigations from the 70’s to date, in which we included the various behaviors of demand and donation, substitution of various types of blood, multiproduct condition of the items, the deterioration and obsolescence of the blood products, the penalties for missing items and the diverse policies that regulate orders. Also, the most prominent models are presented to integrate the supply chain, defined as the best strategy for the optimization of this vital resource. In the end, the gaps not covered in this field of knowledge are highlighted, which constitutes a challenge for future research.

Author Biography

Jairo Arboleda Zúñiga, Universidad Santiago de Cali

Ingeniero Industrial, Universidad del Valle (1985), Magister en Ingeniería Industrial, énfasis en Logística y Producción, Universidad del Valle (2013), Diplomado en Supply Chain Management, IRCC–Florida-USA. (1999). 24 años de experiencia laboral en funciones de gestión logística, gestión de la calidad y mejoramiento continuo en empresas multinacionales, pymes de la región e instituciones públicas. Es docente de la Facultad de Ingeniería de la Universidad Santiago de Cali e investigador del Grupo - Ideas (Competitividad y Productividad) categorizado “B” por Colciencias. Universidad Santiago de Cali - Colombia.