一个基于Agent的逆向物流在线跳变灰预测系统  

An Online Prediction Grey Modeling Jump Series on Reverse Logistics Based on Agent

作　　者：许淑君[1] 

机构地区：[1]上海财经大学国际工商管理学院

出　　处：《计算机工程》2006年第8期186-188,共3页Computer Engineering

基　　金：国家自然科学基金资助项目"废气回收处理策略经济性分析策略和优化"(70472080)

摘　　要：分析了逆向物流供应不确定性的特点。在分析灰预测条件的基础上,提出了一种更严格的跳变点判断标准,建立了跳变点序列的IJGM模型,并给出了相应的算法和步骤。在该基础上,给出了逆向物流供应的灰预测体系和灰预测Agent的逻辑结构。最后,为实现在线预测提出了基于Agent的逆向物流跳变灰预测生产监控框架。The traits of supply uncertainty in reverse logistic system are analyzed firstly. And then based on grey prediction prerequisite, a new stricter jump poi.nt judgment is advanced. As a result, an improved jump-point grey model is developed and its arithmetic approaches are presented. On this basis, grey prediction system and logic frameworks of grey prediction agent are designed. Finally, an online prediction system by grey modeling jump series on reverse logistics based on agent is brought forward.

关 键 词：逆向物流 在线预测 跳变序列 灰预测 AGENT 

分 类 号：TP302.1[自动化与计算机技术—计算机系统结构]