摘要
准确预测企业下一周期的订单数量至关重要。相比其他众多的预测方法,GM(1,1)模型能够较好地通过建立一个小型样本模型来完成短期预测。提出了一种基于改进的GM(1,1)模型与Markov链模型相结合的汽车企业订单预测模型,该预测模型的有效性通过柳州一家汽车公司的实际数据得到检验。
Accurate prediction of the order quantity for the next period is very important for the enterprise to enhance the commercial competitive advantage in a highly competitive business environment. GM（ 1,1 ） theory is one of the prediction methods that can be built with a small sample and yet has a strong ability to make short - term predictions. An automobile enterprise order quantity prediction model was proposed. It was combined with the improved GM（ 1,1 ） model and Markov chain model. The effec- tiveness of the proposed approach to the order prediction was then demonstrated using real - world data from a famous automobile company.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2013年第4期580-582,共3页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
国家自然科学基金资助项目(71171154)
武汉理工大学2013年研究生自主创新研究基金资助项目(135204005)
