摘要
半导体市场需求的动态变化给半导体制造业的生产决策带来了很大的不确定性。以我国某半导体制造企业的历史订单数据为例,利用SPSS软件的时间序列分析模块建立ARIMA模型进行半导体产品的需求预测。实例表明,应用ARIMA模型进行需求预测具有精度高、数据可靠、操作方便、运行迅速、应变能力强等优点。从而可提高企业以及其合作伙伴的收益,并帮助企业进行更好的生产决策。
The dynamic changes of semiconductor industry have brought great uncertainty to the semiconductor manufacturing decisions. Based on the real POS data of a semiconductor corporation, using the TIME SERIES model of SPSS, an ARIMA model was established to predict the future demand. The application examples show that ARIMA model has the advantages of high accuracy, reliable data, easy operation, high working speed, high adapting ability, h can help the enterprise and the partener to raise up proceeds and to give better support to the manufacturing planning.
出处
《半导体技术》
CAS
CSCD
北大核心
2007年第5期391-393,共3页
Semiconductor Technology
基金
教育部博士点基金项目(20050252008)
上海市重点学科<系统管理>资助项目(T0502)
