Demand forecasting using Bayesian experiment with non-homogenous Poisson process model

Abstract

[[abstract]]© 2005 台灣作業研究學會 - This study presents a novel mathematical model using Bayesian model for demand forecasting with non-homogenous Poisson process model. This study aims to construct a framework to minimize the overproduction and underproduction costs by using the time-dependent uncertainty of accumulative demand curve. Specific models were derived as the fundamentals of this approach. Furthermore, this study also proposed a method to evaluate demand forecasting using Bayesian experiment with non-homogenous Poisson process model.[[department]]工業工程與工程管理學

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