| 基于ANN的供应链风险综合评估模型与应用 |
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| 引用本文： | 蒋有凌,杨家其,尹靓,杨俊.基于ANN的供应链风险综合评估模型与应用[J].武汉理工大学学报(交通科学与工程版),2008,32(1):70-73. |
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| 作者姓名： | 蒋有凌 杨家其 尹靓 杨俊 |
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| 作者单位： | 1. 天津大学管理学院,天津,300072
2. 武汉理工大学交通学院,武汉,430063 |
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| 基金项目： | 国家自然科学基金项目资助(批准号:50778141) |
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| 摘 要： | 通过分析供应链风险影响因素,针对各风险因素对供应链风险的影响程度的大小和各风险因素相对于供应链风险的权重难以确定的问题,运用人工神经元网络(ANN)与专家系统(ES)相结合的方法建立了基于模糊综合评判与人工神经网络法的综合评估模型.模型中评价因素集和评价权重集综合考虑了影响供应链稳定的各种风险因素及其所占的权重,并可在评判过程中通过变换各个指标的权重来进行敏感性分析.实际数据检验表明与其他方法相比,评价精度较高,方法简单易行.
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| 关 键 词： | 供应链风险 模糊综合评判 人工神经网络法 |
| 收稿时间： | 2007-10-14 |
| 修稿时间： | 2007年10月14 |
ANN-based Comprehensive Evaluation Model of Supply Chain Risk and Its Application |
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| Jiang Youling,Yang Jiaqi,Yin Liang,Yang Jun.ANN-based Comprehensive Evaluation Model of Supply Chain Risk and Its Application[J].journal of wuhan university of technology(transportation science&engineering),2008,32(1):70-73. |
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| Authors: | Jiang Youling Yang Jiaqi Yin Liang Yang Jun |
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| Abstract: | The influence of various risk factors and the weights of them to whole supply chain are hard to be decided.A comprehensive model is introduced by using Expert System(ES) and Artificial Neural Networks(ANN).The judgment factor set and judgment weight set in the model take various risk factors and their weights to the stability of the supply chain into account comprehensively.To change the weight of every factor,sensitivity analyses are also carried out in the process of judgment.Verification by using real case data shows that the precision of the model is relatively high and the method is easy and quick. |
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| Keywords: | supply chain risk fuzzy evaluation ANN |
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