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CVaR 准则下双渠道供应链订货与信息搭便车行为

徐兵 刘露

工业工程Issue(5):99-107,9.
工业工程Issue(5):99-107,9.DOI:10.3969/j.issn.1007-7375.2014.05.017

CVaR 准则下双渠道供应链订货与信息搭便车行为

A Study of the Order and Information Free-riding Behavior of Dual-channel Supply Chain Based on CVaR Criterion

徐兵 1刘露1

作者信息

  • 1. 南昌大学管理科学与工程系,江西南昌330031
  • 折叠

摘要

Abstract

A study is conducted on the information free-riding behavior of the direct-sale channel on inter-net controlled by one manufacturer to the traditional retail channel controlled by one retailer in one dual-channel supply chain ( DCSC ) .Assuming that the demand is random and dependent on retailer′s informa-tion service level , the centralized and decentralized decision models of DCSC are set up when both manu -facturer and retailer are risk-averse by using the CVaR criterion and the equilibrium analysis method .One buy-back plus information service subsidy contract is put forward to coordinate this DCSC by using the con -tract theory .The numerical simulation demonstrates the reasonability of the proposed models and feasibility of the coordinative contracts .It shows that the introduction of direct-channel is a double-edged sword for DCSC , which can attract the potential demand , but the large-scale demand transfer from the retail channel to direct-sale channel should be avoided;the enhancement of information free-riding behavior of direct-sale channel benefits all agents of DCSC; the more risk-averse decision-makers are , the less order quantities are, which lowers the profits of manufacturer , retailer and the whole supply chain;the decisions of DCSC with risk-averse decision-makers are identical to those with risk-neutral members when the risk-averse fac-tor equals to one .

关键词

双渠道供应链/信息搭便车行为/条件风险值准则/决策模型/回购加信息服务补贴契约

Key words

dual-channel supply chain/information free-riding behavior/conditional value-at-risk ( CVaR) criterion/decision model/buy-back plus information service subsidy contract

分类

管理科学

引用本文复制引用

徐兵,刘露..CVaR 准则下双渠道供应链订货与信息搭便车行为[J].工业工程,2014,(5):99-107,9.

基金项目

国家自然科学基金资助项目(NSFC70961006);中国博士后科学基金资助项目(20100481186);中国博士后科学基金特别资助项目 ()

工业工程

OACHSSCDCSTPCD

1007-7375

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