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Ítem A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision making(Taylor & Francis, 2015-12-17) Osorio Muriel, Andrés FelipeThis paper presents a structured review of the literature on quantitative modelling for the blood product supply chain. This is a widely-researched topic, dating back to the 1960s, and several other reviews have been published over the years. However, this paper presents new relevant information for researchers, not only by including more recent models but chiefly because of the structured way in which the models are presented. The models are broken down into five categories. The first four categories represent the four stages (echelons) in the supply chain: collection, production, inventory, and delivery. The final category contains “integrated” models which cover more than one stage. Each section (other than integrated models, which are treated slightly differently) contains two distinct elements. The first element is a diagrammatic representation of decisions and relationships, broken down by hierarchy level (strategic – tactical – operational). The second element is a text description of the main features, contributions and gaps found in the analysed models. An additional element for each section is available online, namely a searchable table describing specific features of each echelon, together with a taxonomic key to assist the reader.Ítem An MIP model to optimize a Colombian cash supply chain(Wiley, 2012-04-01) Toro Díaz, Héctor HernánFinancial institutions operate a supply chain where only one product is moved across the network. Although the cash is kept in several nodes to service the demand of final customers, availability causes opportunity cost related with its investment options. When planning the inventory of cash that should be maintained across the network, transportation decisions are also expected to be made. Cash transportation has a high cost, associated with the high risk of theft. Increasing the inventory can reduce the need for transportation, but the opportunity cost can be very high. Moreover, the inventory is also related with the service level perceived for final customers; therefore because of low inventory some people are not able to make some transactions. The aim of this work is to find optimal decisions related with cash inventory and transportation across the network, trying to balance the cost of the service and the quality perceived for final users.Ítem Un modelo de optimización bi-objetivo para la selección de tecnología y asignación de donantes en la cadena de suministro de sangre(Universidad Icesi, Facultad de Ingeniería, 2014-07-01) Smith, Honora; Brailsford, Sally; Osorio Muriel, Andrés FelipeLos procesos de toma de decisiones suponen frecuentemente más de un objetivo. En el caso de la selección de tecnologías en procesos de captación de productos sanguíneos, están en conflicto los costos de recolección asociados a la tecnología utilizada y la cantidad de donantes requeridos para la satisfacción de la demanda. De igual forma, en la cadena de suministro de sangre este tipo de decisiones se tornan más complejas cuando se consideran las características propias del sistema, como proporcionalidad de tipos de sangre y compatibilidad entre productos. Para dar solución a este problema se propone un modelo de programación lineal entera que contiene como objetivos la minimización del costo total y del número de donantes. Este modelo está sujeto a restricciones de capacidad, proporcionalidad de tipos de sangre y satisfacción de demanda entre otras. Para la solución del modelo se utilizó Open Solver 2.1 y para la generación de las soluciones eficientes que conforman el frente de Pareto se implementó en VBA el algoritmo épsilon restricciones aumentado.Ítem Simulation-optimization model for production planning in the blood supply chain(Springer Verlag, 2017-12-01) BrailsfordHonora K., Sally C.Production planning in the blood supply chain is a challenging task. Many complex factors such as uncertain supply and demand, blood group proportions, shelf life constraints and different collection and production methods have to be taken into account, and thus advanced methodologies are required for decision making. This paper presents an integrated simulation-optimization model to support both strategic and operational decisions in production planning. Discrete-event simulation is used to represent the flows through the supply chain, incorporating collection, production, storing and distribution.