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作 者:陈果[1] CHEN Guo(China University of Geosciences(Beijing),Beijing 100083,China)
出 处:《价值工程》2022年第35期46-49,共4页Value Engineering
摘 要:文章以贝叶斯网络作为研究框架,设立材料企业供应商评价体系的各项影响因子和条件概率,借助于Netica软件完成评价体系的模拟,得出各大影响因素的得分。再基于AHP层次分析法,得出各影响因素的权重,通过结合两者的结果,帮助材料企业选择合适的供应商。文章提出模型和方法的构建思路,最后以G公司作为实证例子,证明此评价体系的可行性。With Bayesian network used as framework of study, various influential factors and conditional probability for material supplier evaluation system were established in the paper. Based on evaluation system simulation through Netca software, scores for various influential factors were ascertained. Besides, the weights for various influential factors were finalized based on AHP method. Then eligible material suppliers for enterprises were selected according to the scores and weights. The idea to establish models and methods was proposed in the paper. Finally, with company G taken for empirical example, feasibility of the evaluation system was verified.
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