摘要
首先对控制库存需求常用的序列预测模型进行了回顾 ,指出它们存在的主要问题在于需要大量数据和模型设置的主观性等 ;接着提出了一类预测方法———灰灾变预测模型以解决这些问题 ,并详细介绍了这类模型 ;然后给出一个案例进行相关的研究和分析 ;最后 ,对这类模型进行了总的评价。
The familiar forecast models based time series for inventory demand control are reviewed. The main problem about these forecast models is explored. The major problem is the need of the huge quantities of data and the subjectivity of the model established. To solve the problem, the model for calamity grey prediction on inventory demand is introduced in much detail. A case is given for relevant analysis and study with a general evaluation of the model.
出处
《工业工程与管理》
2002年第5期11-13,共3页
Industrial Engineering and Management
基金
国家自然科学基金资助项目( 70 0 116 194 9)
国家 86 3/CIMS资助项目( 2 0 0 1AA4 14 110 )