主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院
论文

需求不确定下双渠道供应链产品质量控制研究

展开
  • 1. 北京农学院城乡发展学院, 北京 102206;
    2. 北京农学院经济管理学院, 北京 102206;
    3. 中国农业大学经济管理学院, 北京 100083

收稿日期: 2017-04-27

  修回日期: 2017-11-22

  网络出版日期: 2019-04-28

基金资助

国家社会科学基金资助项目(14BGL062,16GLC061);北京市新农村建设研究基地2016年度开放课题(KF2016052);2015年大北农青年教师科研基金资助项目(15SK004)

The Optimization of Quality Control in Dual Channel Supply Chains with Uncertain Demand

Expand
  • 1. College of Urban & Rural Development, Beijing University of Agriculture, Beijing 102206, China;
    2. Economics & Management College, Beijing University of Agriculture, Beijing 102206, China;
    3. College of Economics & Management, China Agricultural University, Beijing 100083, China

Received date: 2017-04-27

  Revised date: 2017-11-22

  Online published: 2019-04-28

摘要

考虑到电商平台与实体门店两种渠道参与主体的质量决策对不同渠道产品质量水平的影响,进而引致两种渠道下供应链产品质量与价格的市场竞争。本文运用stackblerg博弈分析模型,研究由制造商、实体门店、电商平台与消费者组成的双渠道供应链产品质量控制问题。在考虑需求不确定性的基础上,构建双渠道下制造商、实体门店和电商平台收益分析模型,分析双渠道下制造商与实体门店的批发价格契约、制造商与电商平台之间收益共享契约两种策略对供应链产品质量控制水平的影响,通过运用最优化原理求解制造商、实体门店和电商平台物流配送的最优质量控制水平,并对结果进行仿真模拟。结果显示:制造商、实体门店和电商平台之间的契约对三方产品质量控制具有交互影响,电商平台物流配送质量水平与实体门店仓储质量水平呈同方向变化,而实体门店产品市场售格的提高则不利于电商平台加强物流配送质量水平,消费者对产品售格敏感性越高,制造商越注重产品质量提升。反之,消费者对仓储和物流配送质量水平敏感性提高,并不利于制造商加强产品质量控制。因此,通过大力发展物流配送服务业,提升产品物流配送质量控制水平,不仅有助于生产环节质量控制,同时也将促使实体门店加强产品仓储质量控制水平。

本文引用格式

申强, 徐莉莉, 杨为民, 刘笑冰, 侯云先 . 需求不确定下双渠道供应链产品质量控制研究[J]. 中国管理科学, 2019 , 27(3) : 128 -136 . DOI: 10.16381/j.cnki.issn1003-207x.2019.03.013

Abstract

Quality and price competition of products in different channel which affected by quality decisions of e-commerce platform and physical stores is considered. And product quality control problem in dual channel supply chains, which consists of manufacturers, retailer, e-commerce platform and customers based on the stackblerg game mode is studied. Considering the uncertainty of customer demand, the variation of the product quality level and supply chain's profit with coordination of wholesale price contract between manufacturers and retailer, revenue-sharing contract between manufacturers and e-commerce platform is analyzed, based on the benefit analytical models of manufacturer, physical store and e-commerce platform. Also, the optimal quality control levels of the manufacturers retailer and e-commerce platform are proved by using the principle of optimization. After the simulation, the result shows that the quality levels of the manufacturers, retailer, e-commerce platform are interacted with the contracts. The logistics distribution quality level of e-commerce platform and storage quality level of retailers change in the same direction, while increase in the price of retailer will be bad for the improvement of logistics distribution quality control. The more sensitive the consumers are to price, the more attention the manafacturer pays to product quality control. The more sensitive the consumers are to storage and logistics quality, the less attention the manufacturer pays to product quality control. So, the quality control in the production-process and physical stores can be promoted with the quality control of logistics and distribution services, which can be improved by the development of the logistics and distribution services.

参考文献

[1] 黄健,肖条军,盛昭瀚. 多渠道供应链管理研究述评[J]. 科研管理,2009,(5):25-32.

[2] 李海,崔南方. 电子商务下的多渠道供应链理论研究及发展趋势[J]. 图书情报工作,2011,(18):129-132.

[3] David A, Adida E. Competition and coordination in a Two-Channel supply Chain[J]. Production and Operations Management,2015, 24(8):1358-1370.

[4] Xia Yusen, Xiao Tiaojun, Zhang G P. The impact of product returns and retailer's service investment on manufacturer's channel strategies[J]. Decision Sciences,2017,48(5):918-955.

[5] Tsay A A, Agrawal N. Channel conflict and coordination in the e-commerce age[J]. Production and Operations Management,2004, 13(1):93-110.

[6] Agatz N A H, Moritzfleischmann, van Nunen J A E E. E-fulfillment and multi-channel distribution-a review[J]. European Journal of Operational Research,2008, 2(187):339-356.

[7] 屠冉冉,洪跃,龚晓婧. 基于Stackelberg博弈策略下的多渠道供应链决策研究[J]. 数学的实践与认识,2012,(1):84-91.

[8] 李春发,冯立攀. 随机需求多渠道供应链Stackelberg协调博弈分析[J]. 计算机集成制造系统,2014,(9):2313-2319.

[9] 郑敏,刘宇熹,范元伟. 电子商务环境下多渠道供应链的Stackelberg博弈[J]. 物流工程与管理,2015,(11):134-136.

[10] 于丽娟,李雪,祝爱民. 需求信息不对称下多渠道供应链的协调定价[J]. 运筹与管理,2015,(2):44-50.

[11] 计国君,胡李妹. 基于质量信息披露下双渠道定价决策研究[J]. 统计与决策,2017,(3):41-46.

[12] 范小军,刘艳. 制造商引入在线渠道的双渠道价格与服务竞争策略[J]. 中国管理科学,2016,(7):143-148.

[13] 李景峰,张文静,毋江波. 传统品牌与网货品牌竞争下的多渠道供应链定价研究[J]. 工业技术经济,2017,(3):107-115.

[14] 王玉洁,陈荔. 基于零售商服务质量提高的供应链双渠道协调机制[J]. 科技与管理,2014,(4):68-71.

[15] 柏庆国,徐贤浩,潘伟. 多分销渠道下易变质产品的联合库存与定价模型[J]. 管理工程学报,2017,(3):84-92.

[16] 朱立龙,郭鹏菲,孙淑慧. 三种混合分销渠道条件下供应链产品质量控制策略研究[J]. 中国管理科学,2017,25(3):111-120.

[17] Zhang Zichen, Luo Xinggang, Kwong C K, et al. Return and refund policy for product and core service bundling in the dual-channel supply chain[J]. International Transactions in Operational Research,2019,26(1):223-247.

[18] 刘慧慧,黄涛,雷明. 废旧电器电子产品双渠道回收模型及政府补贴作用研究[J]. 中国管理科学,2013,21(2):123-131.

[19] 但斌,曲祯经,刘灿,等. 存在强势零售商的多渠道供应链价格决策与均衡分析[J]. 系统管理学报,2016,(3):556-562.

[20] 计国君,胡李妹. 基于质量信息披露下双渠道定价决策研究[J]. 统计与决策,2017,(3):41-46.

[21] 徐琳. 互联网时代零售商的双渠道物流发展与价格探究[J]. 商业经济研究,2017,(21):66-68.

[22] 范小军,刘虎沉. 基于消费者在线渠道接受差异的双渠道定价策略[J]. 系统管理学报,2015,(3):413-420.

[23] 朱奕,孙田雨,王玲,等. 基于契约理论的服装双渠道利益协调建模与应用[J]. 控制与决策,2017:1-8.

[24] 林庆,何勇. 双渠道供应商的差异化定价对渠道的影响[J]. 系统管理学报,2017,(4):679-684.

[25] 范小军,刘艳. 制造商引入在线渠道的双渠道价格与服务竞争策略[J]. 中国管理科学,2016,24(7):143-148.

[26] Chen K Y, Kaya M, Özer Ö. Dual sales channel management with service competition[J]. Manufacturing & Service Operations Management,2008, 4(10):654-675.

[27] 李永飞,苏秦,郑婧. 考虑质量改进的双渠道供应链协调研究[J]. 软科学,2015,(7):35-39.

[28] 胡新平,李天丽,邓腾腾. 质量和价格影响需求的双渠道供应链饥饿营销策略[J]. 系统管理学报,2015,(3):436-443.

[29] 禹爱民,刘丽文. 随机需求和联合促销下双渠道供应链的竞争与协调[J]. 管理工程学报,2012,(1):151-155.

[30] 晏妮娜,黄小原,刘兵. 电子市场环境中供应链双源渠道主从对策模型[J]. 中国管理科学,2007,15(3):98-102.
文章导航

/