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风险偏好与供应商选择的计算实验模型 被引量:1

Computational experiment model for risk preference and supplier selection
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摘要 为了识别风险偏好对供应商选择策略的影响,利用Multi-Agent方法和Eclipse开发平台构建了包含3种具有不同风险偏好供应商组合的计算实验模型。假定产品日需求量服从正态分布,模拟零售商在采用(S,s)库存策略的情境下供应商组合的竞争机制和零售商采购价格、库存及利润的变动趋势。并在各个安全库存水平选择具有不同风险偏好的供应商组合进行实验,对零售商日平均利润、日平均库存量和平均采购价格进行数据分析。研究结果表明:在单供应商获胜机制下,随着零售商安全库存的增加,通过具有相同风险偏好的供应商组合竞争能够降低零售商的采购价格,提高零售商的利润;存在一个安全库存水平值,当零售商安全库存水平低于这一值时,风险回避供应商组合的竞争对零售商有利,当零售商安全库存水平高于这一值时,风险追寻供应商组合的竞争对零售商更有利。 In order to research the impact of suppliers' risk preference on the supplier selection policy, this paper set up a computational experiment model composed of 3 supplier selection with different risk preference by using Multi-Agent method and Eclipse platform. Assuming that prod-uct demand per day obeyed normal distribution and retailers used (S, s) inventory policy, the competition mechanism of supplier selection and the changes of retailers' purchase price, invento- ry and profit were simulated. Experiments on supplier selection with different risk preference were conducted under different levels of safety stock, and the retailer's day average profit, average in ventory and average purchase price were analyzed. The results show that under single supplier win mechanism, competition of supplier selection with the same risk preference can reduce the retailers' purchase price and improve the stock. There is a safety stock level, when th retailers should choose the risk-averse supplie er than that level, the retailer should choose retailers' profit with the increase of retailers' safety e retailers' level of safety stock is lower than that level, the r selection; when the retailers' level of safety stock is high-the risk-seeking supplier selection. 1 tab, 3 figs, 23 refs.
作者 张圣忠 李洋
出处 《长安大学学报(自然科学版)》 EI CAS CSCD 北大核心 2013年第4期110-115,共6页 Journal of Chang’an University(Natural Science Edition)
基金 国家自然科学基金项目(71001011) 教育部新世纪优秀人才支持计划项目(NCET-11-0716) 教育部科学技术研究重点项目(109147) 中央高校基本科研业务费专项资金(人文社科)重点项目(CHDW2011ZD003)
关键词 物流工程 供应链管理 供应商选择 风险偏好 计算实验 logistics engineering supply chain management supplier selection risk preferencecomputational experiment
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参考文献23

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