期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：6
出版社：IJCSI Press
摘要：Forecasting has been the trouble-free way for the port authorities to derive the future expected values of service time of Bulk cargo ships handled at ports of South India. The short term forecasting could be an effective tool for estimating the resource requirements of recurring ships of similar tonnage and Cargo. Forecasting the arrival data related to port based ship operations customarily done using the standard algorithms and assumptions. The regular forecasting methods were decomposition, smoothing, and Box-Jenkins procedures. The focus was on forecasting was on the inherent errors in any forecasting procedure and make the inevitable errors as smallest as possible and accurate adequate to meet the requirements of Managers handling Cargo ships. An attempt has been made to perform short term forecasting using the quantitative models utilizing the time series port data and comparing it with the Multivariate nonlinear regression model and ANN model for their accuracy and reliability
