期刊论文

Supply chain demand collaborative prediction model based on Agent-Petri

中文

计算机工程与设计

1000-7024

2016

37

10

2794-2797,2820

10.16208/j.issn1000-7024.2016.10.041

湖南省自然科学基金项目（2015JJ2041）；

本校为其他机构

为获得更加理想的供应链预测结果,提出一种基于Agent-Petri的供应链需求协同预测模型。从企业供应链各环节的协同关系出发,将供应链看作一个协同系统,采用Agent描述企业供应链各个环节的行为规则,通过Petri网刻画企业供应链相互联系。通过仿真实验对Agent-Petri的预测性能进行分析,实验结果表明,Agent-Petri可以准确刻画企业供应链需求的动态变化特性,提高供应链需求预测的精度,预测结果有利于提高企业的管理水平。

To get more ideal supply chain predicting results,a supply chain demand predicting model based on Agent-Petri was put forward.The supply chain was considered as a cooperative system from the enterprise supply chain perspective,and Agent was used to describe the behavior rules of supply chain,while the relationship and the change law were described through Petri network for supply chain demand.The prediction performance of Agent-Petri was analyzed by simulation experiments.The experimental results show that Agent-Petri can accurately describe the dynamic changes of supply chain demand,improve p...