管理评论 ›› 2021, Vol. 33 ›› Issue (1): 301-309.

• 物流与供应链管理 • 上一篇    

部分顾客信用风险下基于两层级商业信用的订货策略

吴成锋1, 赵秋红2, 张冲3, 林帅成1   

  1. 1. 青岛科技大学经济与管理学院, 青岛 266061;
    2. 北京航空航天大学经济管理学院, 北京 100083;
    3. 南京邮电大学管理学院, 南京 210003
  • 收稿日期:2020-06-16 发布日期:2021-02-03
  • 作者简介:吴成锋,青岛科技大学经济与管理学院副教授,博士;赵秋红,北京航空航天大学经济管理学院教授,博士生导师;张冲,南京邮电大学管理学院副教授,博士;林帅成,青岛科技大学经济与管理学院硕士研究生。
  • 基金资助:
    国家自然科学基金项目(71843011);教育部人文社会科学研究青年基金项目(16YJC630135);山东省自然科学基金项目(ZR201910230453);山东省社会科学规划研究项目(19BJCJ10);青岛市社会科学规划研究项目(QDSKL1901200)。

An Ordering Policy with Two-level Trade Credit under Partial Customers Credit Risk

Wu Chengfeng1, Zhao Qiuhong2, Zhang Chong3, Lin Shuaicheng1   

  1. 1. College of Economics and Management, Qingdao University of Science and Technology, Qingdao 266061;
    2. School of Economics and Management, Beihang University, Beijing 100083;
    3. School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210003
  • Received:2020-06-16 Published:2021-02-03

摘要: 商业信用风险逐渐成为供应链决策优化领域的研究热点。本文以两层级商业信用下零售商订货策略为研究对象,并针对部分顾客存在信用风险,考虑零售商向顾客提供部分商业信用。本文考虑信用不佳顾客信用风险受信用期影响,将市场需求变化分解为信用期、延期支付货款比例和需求增长系数相关联的三个部分,结合经济订购模型的研究框架,构建部分顾客信用风险下基于两层级商业信用的订货策略,并进行算例分析。研究表明,信用不佳顾客占比越大,造成零售商的损失越大。而零售商提供给顾客的信用期和延期支付货款比例对零售商利润产生正反两个不同方向的变化趋势,其实质是两个要素在很大程度上受需求增长系数大小所影响。

关键词: 商业信用, 信用风险, 延期支付, 订货策略, 信用不佳顾客

Abstract: Trade credit risk has gradually become a research hotspot in the field of the supply chain decision-making. The paper takes the retailer's ordering strategy with two-level trade credit as the research object where the retailer provides partial trade credit to the end-customers under the credit risk of some customers in the market. In this study, we assumes that the bad credit customers have a default risk associated with the credit period, and the demand is function of trade credit amount and customers' trade credit period and the increasing demand coefficient. Based on the theoretical framework of the economic ordering model, the paper studies an ordering policy with two-level trade credit under partial customers credit risk. Finally, an analysis of numerical example is given. The results show that in this context, the larger the proportion of bad credit customers, the greater the loss of retailers. Besides, the credit period and trade credit amount have positive and negative effects on the retailer's profit, which is largely affected by the increasing demand coefficient.

Key words: trade credit, credit risk, permissible delay in payments, ordering policy, bad credit customers