基于商业信用和回购契约的供应链最优化策略研究

运筹与管理 ›› 2014, Vol. 23 ›› Issue (2): 99-106.

基于商业信用和回购契约的供应链最优化策略研究

郭金森^1,2, 周永务¹, 钟远光¹, 李昌文¹

1.华南理工大学工商管理学院,广州广东 510640;
2.河南师范大学商学院,河南新乡 453007

收稿日期:2011-09-27 出版日期:2014-02-25
作者简介:周永务(1964-),男,安徽庐江人,博士,特聘教授,博士生导师,研究方向:物流与供应链管理,库存控制;郭金森(1986-),男,河南新乡人, 博士生,研究方向:供应链协调研究;钟远光(1984-),男,畲族,福建龙岩人, 博士生,研究方向:提前订货协调研究。
基金资助:
国家自然科学基金资助项目(71131003,71271089);国家自然科学基金青年项目(71201044);浙江省自然科学基金项目(Y6110095)

Supply Chain Coordination Model with Trade Credit and Buyback Contracts

GUO Jin-sen^1,2, ZHOU Yong-wu¹, ZHONG Yuan-guang¹, LI Chang-wen¹

1. School of Business Administration, South China University of Technology, Guangzhou 510640, China;
2. Business School, Henan Normal University, Xinxiang 453007, China

Received:2011-09-27 Online:2014-02-25

摘要/Abstract

摘要： 本文考虑由单一供应商和零售商组成的供应链系统,当供应商为零售商提供回购契约,同时零售商又为下游顾客提供商业信用契约时,供应商如何设计回购契约来有效协调整个供应链,以及零售商又如何借助回购和商业信用契约来做出自身最优订货策略问题,并建立了相应的决策模型。通过模型分析,给出了供应商和零售商在四种情形下的最优契约设计参数,以及零售商的最优订货决策。研究发现,当满足一定的参数范围时,供应链中两主体同时采用协调契约能够更加有效地增加整个供应链中的订货量和利润,为各主体创造更多新的价值。最后,本文结合数值例子,分析了模型参数变化对最优订货策略和各主体利润的影响。

关键词: 商业信用, 回购, 供应链协调

Abstract: The paper considers a supply chain that consists of a supplier and a retailer, who sells a single product to the customers over a short selling season. In this paper, we mainly research how the retailer uses the trade credit to entice customers to increase their ordering quantity and how the supplier designs the buyback contract so as to maximize his/her own expected profit with different perspective. Solving the models, we have got the optimal solutions that can make the total profit reach the maximum and obtain some effective theorems. Finally, we provide a detailed numerical example to illustrate the model and some meaningful management implications.

Key words: trade credit, buyback, supply chain coordination

中图分类号:

F274

郭金森, 周永务, 钟远光, 李昌文. 基于商业信用和回购契约的供应链最优化策略研究[J]. 运筹与管理, 2014, 23(2): 99-106.

GUO Jin-sen, ZHOU Yong-wu, ZHONG Yuan-guang, LI Chang-wen. Supply Chain Coordination Model with Trade Credit and Buyback Contracts[J]. Operations Research and Management Science, 2014, 23(2): 99-106.

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