Early Warning System for Enterprise Supply Chain Crisis Based on Back-Propagation Neural Networks

被引：0

作者：

Du, Rong ^{[1
]}

Sun, Ye ^{[1
]}

机构：

[1] Harbin Engn Univ, Sch Econ & Management, Harbin 150001, Peoples R China

来源：

3RD INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS FOR CRISIS RESPONSE AND MANAGEMENT & 4TH INTERNATIONAL SYMPOSIUM ON GEO-INFORMATION FOR DISASTER MANAGEMENT | 2008年

关键词：

Supply chain crisis; early warning system; knowledge mining; BPNN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The structure of enterprise supply chain is very complicated, and the whole supply chain might be out of control because of a tiny problem occurred in any ring of the chain. In order to predict the supply chain crisis effectively, based on back-propagation neural networks (BPNN), this paper established an early warning system model for supply chain crisis, elaborated the system's structure, analyzed the early warning system's operational mechanism, and established an index system. A case study was offered to prove the feasibility and effectiveness of this early warning system.

引用

页码：257 / 262

页数：6

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