Abstract:
Aiming at purchasing decision-making existing problems of supplier and order selection in E-business Logistics Management System(ELMS), this paper gets supplier selection scheduling algorithm according to ELMS purchase process and multi-attribute decision-making method. It realizes order selection strategy using multiple servers multi-queue model based on Stochastic Petri Net(SPN). Performance analysis results show that this method can effectively enhance throughput and reduce rate response time of ELMS.
Key words:
E-business Logistics Management System(ELMS),
Stochastic Petri Net(SPN),
multiple attribute decision-making E-business Logistics Management System(ELMS),
Stochastic Petri Net(SPN),
multiple attribute decision-making E-business Logistics Management System(ELMS),
Stochastic Petri Net(SPN),
multiple attribute decision-making E-business Logistics Management System(ELMS),
Stochastic Petri Net(SPN),
multiple attribute decision-making
摘要:
在电子商务物流管理系统(ELMS)中,针对采购决策存在的供应商选择和订单选择问题,根据ELMS采购流程和多属性决策方法得到供应商选择调度算法,利用基于随机Petri网的多服务器多队列模型实现订单选择策略。性能分析结果表明,该方法能有效减少ELMS系统的响应时间,并提高其吞吐率。
关键词:
电子商务物流管理系统,
随机Petri网,
多属性决策
CLC Number:
CENG Meng, YANG Yang, WANG Yuan-Zhuo, ZHANG Jing-Le. Logistics Purchasing Decision-making Based on SPN Model[J]. Computer Engineering, 2010, 36(11): 1-4.
曾明, 杨扬, 王元卓, 张静乐. 基于SPN模型的物流采购决策[J]. 计算机工程, 2010, 36(11): 1-4.