期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2014
卷号：8
期号：8
页码：83-90
DOI：10.14257/ijseia.2014.8.8,09
出版社：SERSC
摘要：At the micro perspectives, many studies have identified total shipment quantity, wholesale price at previous day, national holiday effect, as the variables affecting the wholesale price level of stored apple. However, the report of production volume effect at a given year on wholesale price level from the point of macro perspectives in practice, especially in agricultural industry, has been relatively rare. The researchers aimed to try to fill this gap by developing an integrated forecasting model of daily wholesale price with macro and micro variables for a shipment timing support system for stored The result of this study shows that annual apple yield has an impact on daily pricing of apples for the wholesale market. This study contributes to the daily price forecasting modeling with an empirical result that macro variable such as accumulated shipments needs to be included in the STSS modeling.
