CPFR中的联合预测研究

文章研究了联合计划、预测和补货（CPFR）中的联合预测流程，并建立了相关的预测模型。在建模的过程中，使用了状态空间方程来描述实际市场需求和观测到的市场需求（销售量），并通过卡尔曼滤波来预测零售商下期的销售量．结合零售商库存策略，预测出零售商下期的订单量。

A Research on Collaborative Forecasting of CPFR

This paper focuses on collaborative forecasting process of collaborative planning,forecasting and replenishment(CPFR)and establishes a forecasting model.This model applies state-space equation to describe actual market demand and observed market demand(sales),uses Kalman filter to forecast retailers' sales in the next period,and predicts retailers' orders as well.