Dynamic data systems approach to forecasting supply of petroleum products in the Kingdom of Saudi Arabia
作者:
FARHATA. BURNEY,
MUSTAFAM. AL-IDRISI,
A. ABDULAZIZ,
期刊:
International Journal of Systems Science
(Taylor Available online 1994)
卷期:
Volume 25,
issue 3
页码: 473-481
ISSN:0020-7721
年代: 1994
DOI:10.1080/00207729408928973
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The Kingdom of Saudi Arabia is playing a key role in the production of petroleum products. Accurate forecasting of the demand/ supply of these products is very essential for proper planning of the refineries of the Kingdom. An overview of the various forecasting methods used for this purpose is presented and a relatively new time series method, dynamic data systems, is applied. Autoregressive moving average models are developed and used for forecasting. A number of statistical tests are applied lo demonstrate that these forecasts are highly accurate and dependable
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