基于返回策略的供应链网络竞争绩效研究

中国管理科学 ›› 2012, Vol. 20 ›› Issue (5): 122-130.

基于返回策略的供应链网络竞争绩效研究

孟庆峰^1,3, 范明¹, 李真 ²

1. 江苏大学管理学院,江苏镇江 212013;
2. 江苏科技大学经济管理学院,江苏镇江 212003;
3. 江苏大学社会科学计算实验中心,江苏镇江 210093

收稿日期:2010-09-02 修回日期:2012-06-13 出版日期:2012-10-29 发布日期:2012-10-27
基金资助:
国家社科基金重大项目(11&ZD169);国家自然科学基金资助项目(71073070,71171099,71101067, 71101069, 71001028, 71001049);国家社会科学基金青年项目(10CGL025)

Competition Performance of Return Policy in Supply Chain based on Computational Experiments

MENG Qing-feng^1,3, FAN Ming¹, LI Zhen²

1. School of Management, Jiangsu University, Zhenjiang 212013,China;
2. Economics & Management School, Jiangsu University of Science and Technology, Zhenjiang 212003,China;
3. Computational Experiment Center for Social Science, Jiangsu University, Zhengjiang 212013,China

Received:2010-09-02 Revised:2012-06-13 Online:2012-10-29 Published:2012-10-27

摘要/Abstract

摘要： 针对由多个供应商和多个零售商组成的结构可变的供应链网络,分别在零售商之间基于订货量以及价格两种竞争方式下,分析了供应商均不采用返回策略、部分采用返回策略以及均采用返回策略六种情景下供应链网络的竞争绩效。研究发现当零售商基于订货量竞争时,供应商采用协调策略对于其零售商客户及供应链均为占优策略,零售商更换供应商的成本将会影响供应商的收益以及采用协调策略的积极性;当零售商之间基于价格竞争时,返回策略在一定程度上仍能够激励零售商增加订货量,且对供应链渠道的利润绩效及其稳定性均具有一定的改善作用。

关键词: 供应链网络, 竞争方式, 返回策略, 竞争绩效, 计算实验

Abstract: The structure of the supply chain network consisted of multiple suppliers and multiple retailers can be changed. At first, the supply chain network competition performance is analyzed in six scenarios: all suppliers (coordinated scenario) or part of suppliers (hybrid scenario) or none of suppliers (uncoordinated scenario) adopted coordination policy with two competitive manners between retailers. There are competitions with order quantity and retail price. It is shown that when competing between retailers with order quantity, return policy is a dominant strategy for each retailer and supply chain that used. True cost of changing suppliers by retailers will affect the vendors’ income and the enthusiasm of adopting the coordinated strategy. When retailer competing with retail price, return policy can stimulate the retailers to increase its order volume to some extent, and it is able to improve supply chain channels’ performance and increase the earnings stability to some extent.

Key words: supply chain network, competitive manner, return policy, competition performance, computational experiments

中图分类号:

F274

孟庆峰, 范明, 李真 . 基于返回策略的供应链网络竞争绩效研究[J]. 中国管理科学, 2012, 20(5): 122-130.

MENG Qing-feng, FAN Ming, LI Zhen. Competition Performance of Return Policy in Supply Chain based on Computational Experiments[J]. Chinese Journal of Management Science, 2012, 20(5): 122-130.

参考文献

[1] Xiao Tiaojun, Yang Danqin. Price and service competition of supply chains with risk-averse retailers under demand uncertainty[J]. International Journal of Production Economics, 2008, 114(1): 187-200.
[2] 何勇,何炬,杨德礼.需求不确定下的补偿策略理论模型[J]. 管理科学学报, 2004, 7(6): 30-36.
[3] Pasternack B A. Optimal pricing and returns policies for perishable commodities[J]. Marketing Science, 1985, 4(2): 166-176.
[4] Cachon G P. Quantitative models for supply chain management. London: Klumer Academic Publishers, 1999. 111-146.
[5] Emmons H S, Gilbert M N. The role of return policies in pricing and inventory decisions for catalogue goods[J]. Management Science, 1998, 44(2): 276-283.
[6] Taylor T. Channel coordination under price protection, midlife returns and end-of-life returns in dynamic markets[J]. Management Science, 2001, 47(9): 1220-1234.
[7] Yue Xiaohang, Raghunathan S. The impacts of the full returns policies on supply chain with information asymmetry[J]. European Journal of Operational Research, 2007, 180(2): 630-647.
[8] Ding Ding, Chen Jian. Coordinating a three level supply chain with flexible return policies[J]. Omega, 2008, 36(5): 865-876.
[9] Padmanabhan V, Png I P L. Manufacturer’s returns policy and retail competition[J]. Marketing Science, 1997, 16(1): 81-94.
[10] Netessine S, Rudi N. Supply chain structures on the internet: marketing-operations coordination. Working Paper No. OP 00-05,University of Pennsylvania, Philadelphia, 2000.
[11] Gans N. Customer loyalty and supplier quality competition[J]. Management Science, 2002, 48(2): 207-221.
[12] Anupindi R, Bassok Y. Centralization of stocks: retailers vs manufacturer[J]. Management Science, 1999, 45(2): 178-191.
[13] Pennings J M E, Smidts A. Price and delivery logistics competition in a supply chain[J]. Management Science, 2003, 51(2): 329-336.
[14] 徐经意,杨德礼.生产商竞争的供应链系统退货决策分析[J]. 控制与决策, 2006, 21(4): 391-395.
[15] 王小龙,刘丽文.下游零售商强势背景下的多对一供应链协调模型[J]. 中国管理科学, 2008, 16(5): 96-109.
[16] Albert Y H, Tong S L. Contracting and information sharing under supply chain competition [J]. Management Science, 2008, 54(4): 701-715.
[17] 盛昭瀚,张军,杜建国.社会科学计算实验理论与应用[M]. 上海:三联书店,2009.
[18] Cachon G P. Supply chain coordination with contracts[M].//Handbooks in Operation and Managements Science. St Louis: Elsevier Publishing Company, 2003.
[19] Banker R D, Khosla I, Sinha K K. Quality and competition [J]. Management Science, 1998, 44 (9): 1179-1192.
[20] 徐最, 朱道立, 朱文贵. 销售努力水平影响需求情况下的供应链回购契约[J]. 系统工程理论与实践, 2008, 4: 1-11.
[21] 杨德礼,郭琼,何勇,等.供应链契约研究进展[J]. 管理学报, 2006, 3(1): 117-125.