基于C#与MATLAB混合编程的物流需求预测系统的实现
物流需求预测系统的实现

doi:10.3969/j.issn.1674-0696.2015.04.25

重庆交通大学学报（自然科学版） ›› 2015, Vol. 34 ›› Issue (4): 128-132.DOI: 10.3969/j.issn.1674-0696.2015.04.25

基于C#与MATLAB混合编程的物流需求预测系统的实现物流需求预测系统的实现

许茂增，余国印

重庆交通大学管理学院，重庆 400074

收稿日期:2013-06-11 修回日期:2014-06-22 出版日期:2015-08-30 发布日期:2015-09-18
作者简介:许茂增（1960—），男，陕西大荔人，教授，博士生导师，主要从事物流与供应链管理方面的研究。E-mail：xmzzrxhy@eyou.com。
基金资助:
教育部人文社科研究项目(10XJA790009)

Implementation of Logistics Demand Forecasting System Based on Hybrid Programming with C # and MATLAB Hybrid Programming with C # and MATLAB

Xu Maozeng, Yu Guoyin

School of Management, Chongqing Jiaotong University, Chongqing 400074, China

Received:2013-06-11 Revised:2014-06-22 Online:2015-08-30 Published:2015-09-18

摘要/Abstract

摘要： 根据物流需求数据的不同特点，归纳了灰色GM（1,1）模型、移动平均值模型、指数平滑模型、季节指数模型、BP神经网络模型、线性回归模型、多项式拟合模型和非线性回归模型8种常见的物流需求预测模型，并据此为物流企业开发了基于C # 与MATLAB混合编程的物流需求预测系统，降低了物流企业物流需求预测的复杂度。最后通过预测实例表明该系统具有较好的适用性和较高的预测精度。

关键词: 管理工程, 混合编程, 物流需求预测系统

Abstract: According to different characteristics of logistics demand data ,8 common logistics demand forecasting models was summarized, such as, the grey GM (1,1) model, the moving average model, the exponential smoothing model, the seasonal index model，BP neural network model, linear regression model, polynomial fitting model and nonlinear regression model and so on. On the basis of it, a logistics demand forecasting system based on the hybrid programming technology with C # and Matlab was developed for the logistics enterprises, and it reduced the complexity of logistics demand forecasting in the logistics enterprises. Finally, the forecasting example shows that the system has good applicability and high forecasting accuracy.

Key words: management engineering, hybrid programming, logistics demand forecasting system

中图分类号:

许茂增，余国印. 基于C#与MATLAB混合编程的物流需求预测系统的实现物流需求预测系统的实现[J]. 重庆交通大学学报（自然科学版）, 2015, 34(4): 128-132.

Xu Maozeng, Yu Guoyin. Implementation of Logistics Demand Forecasting System Based on Hybrid Programming with C # and MATLAB Hybrid Programming with C # and MATLAB[J]. Journal of Chongqing Jiaotong University(Natural Science), 2015, 34(4): 128-132.

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基于C#与MATLAB混合编程的物流需求预测系统的实现物流需求预测系统的实现

Implementation of Logistics Demand Forecasting System Based on Hybrid Programming with C # and MATLAB Hybrid Programming with C # and MATLAB

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基于C#与MATLAB混合编程的物流需求预测系统的实现物流需求预测系统的实现