基于贝叶斯网络的供应链企业协同敏感性分析

2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM) Pub Date : 2010-05-06 DOI:10.1109/ICLSIM.2010.5461447

Jian Li, Yang Gao

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引用次数: 6

摘要

目前，企业之间的协作关系对供应链的运行效率有着重要的影响。本文以贝叶斯网络理论为基础，采用遗传算法的方法建立了供应链中企业的协同敏感指数模型，并引入了能够提高整个供应链效率的协同方案，使相关企业及时发现各种需要解决的问题，提高工作效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Base on Bayesian Network of supply chain enterprises collaborative sensitivity analysis

At present, the collaborative relationships between enterprises have a significant impact on operating efficiency for the supply chain. Base on Bayesian Network theory, the paper establishes a model of collaborative sensitive index of enterprises in the supply chain by adopting methods of genetic algorithms, and introduces collaborative programs that can improve the efficiency of the entire supply chain, which make related enterprises timely find various problems that need to be addressed, and make the efficiency of work increased.

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2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)

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