| Summary: | 碩士 === 中國文化大學 === 資訊管理學系 === 100 === Basically, applying Decision Support Systems to the traditional Supply Chain Management although can provide demand forecasting, distribute manufactory resources efficiently and inform clients of the delivery schedule. Nevertheless, it fails to collect overall data of supply chain in time for the integrated analysis which may result in invalidity. Grid Supply Chain is tailor-made to take a good advantage of configuration, adaptability, mutual sharing character to access all data of suppliers and customers.
This research emphasizes on applying a decision support system into the supply chain grid. Exponential smoothing and regression analysis methods are constructed in the system to assist the manufacturer on the supply chain grid to conduct sales forecasting and raw material demand planning. Time of the entire production process from material acquirement to product delivery can be ahead based on accurate sales forecasting and customer service is then enhanced.
Based on the actual stimulation result, the average odds between the extra order prediction from the manufacturers and the actual additional order amount from the clients are 43, equivalent to the margin for error around 4.9%, i.e. the precision ratio of 95.1%. The average delivery time is shortened by 4.9 days.
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