INTELLIGENT AGENTS AND RISK BASED MODEL FOR SUPPLY CHAIN MANAGEMENT

被引：13

作者：

Smeureanu, Ion ^{[1
]}

Ruxanda, Gheorghe ^{[1
]}

Diosteanu, Andreea ^{[1
]}

Delcea, Camelia ^{[1
]}

Cotfas, Liviu Adrian ^{[1
]}

机构：

[1] Bucharest Acad Econ Studies, Fac Cybernet Stat & Econ Informat, Bucharest 010552, Romania

来源：

TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY | 2012年 / 18卷 / 03期

关键词：

risk based model; supply chain; intelligent agents; neural network; BANKRUPTCY PREDICTION; NEURAL-NETWORKS;

D O I：

10.3846/20294913.2012.702696

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper presents a software agent based framework's architecture for boosting performance in supply chain management applications. The framework is based on agent interaction and semantic web service composition. The purpose of such a platform is to develop flexible business applications for SCM transactions modeling, in collaborative and distributed economic systems. The interaction between agents is limited by a cybernetic model that takes into account several constraints one of the main being bankruptcy risk potential of the peer partner company.

引用

页码：452 / 469

页数：18

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