A Decision-Making Tool for Demand Forecasting of Blood Components
Information Control Problems in Manufacturing, Volume # 14 | Part# 1
Silva Filho, Oscar Salviano; Cezarino, Wagner; Salviano, Giselle Rebelo
Digital Object Identifier (DOI)
Demand Forecasting; Decision Support System; Supply Chain Management (SCM)
The objective of this paper is to present a computational tool for forecasting of blood components. Such a tool allows managers to make decisions about the weekly demand of packed red cells and platelets concentrate that are required by hospitals. Blood components are originated from human blood, which is a perishable raw material. Thus, improving the demand forecasting for these components, it is possible to improve the planning process avoiding shortage and outdate occurrences, which implies in lower inventory costs. Some features of the automatic Box-Jenkins methodology are discussed. The two steps of a scheme for weekly forecasting of blood components are briefly introduced. At last, the software applicative developed for decision-making of blood components forecasting is presented with respect to its interactive resources.
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