政府奖惩下闭环供应链中需求预测信息分享研究
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摘要
考虑政府奖惩机制,在制造商直接回收的闭环供应链中,当市场不确定且制造商和零售商都能预测需求时,为研究零售商的需求预测信息分享问题,本文构建一个Stackelberg博弈模型,分别求得零售商信息分享和不分享情形下的均衡结果,探讨了需求预测信息精度对供应链成员利润及信息分享价值的影响,并研究了供应链均衡的信息分享策略。研究发现,需求预测精度的提高在大多数情形下会使供应链成员都受益。当制造商回收效率较高时,自愿分享需求信息是一个均衡;当制造商回收效率较低时,信息不分享是一个均衡;当制造商回收效率处于中等水平时,通过设计一个讨价还价机制,可以促使信息分享是一个均衡。此外,政府奖惩力度也会影响均衡的信息分享策略。
Driven by the government's mechanism of reward-penalty,many manufacturers are engaging in collecting and remanufacturing operations.For the members of the closed-loop supply chain with the manufacturer collecting,they can forecast the uncertain market demand through using information technology.Generally,the forecast information is the private information of the retailer,which results in demand forecast information asymmetry in the closed-loop supply chain with the manufacturer collecting.In order to solve this problem,the demand forecast sharing decisions of the retailer is studied.Specifically,the following questions are mainly investigated:When both the manufacturer and the retailer can forecast,whether the retailer shares the forecast information voluntarily?If impossible,how to design a mechanism to induce it to share information?How does the government's mechanism of reward-penalty affect the equilibrium of information sharing?And how does the forecast accuracy affect the supply chain members' profits and the value of information sharing?A Stackelberg model between the manufacturer and the retailer is constructed.The manufacturer and the retailer first negotiate on information sharing agreement through a bargaining mechanism.And then the manufacturer acts as a Stackelberg leader and determines the wholesale price and the collection rate.As a follower,the retailer determines the retail price.This paper solves the multistage game by using a standard backward induction technique.In detail,the equilibrium decisions of the manufacturer and the retailer are first solved under the case of information sharing and non-information sharing,and then the firms' ex ante profits of both cases are computed,thereby obtaining the value of information sharing.Based on these results,this paper analyses the impact of demand forecast accuracy on the supply chain members' profits and the value of information sharing,and the values of information sharing and equilibrium information sharing decisions are investigated.The results show that in most cases,both the supply chain members can benefit from the precise demand forecasts.Besides,when the manufacturer's collection efficiency is high,voluntary information sharing is a unique equilibrium.When the efficiency is low,non-information sharing is a unique equilibrium.When efficiency is medium,the equilibrium of information sharing can be realized through a bargaining mechanism.Furthermore,the government's level of reward-penalty affects the equilibrium information sharing decisions.The research provides useful managerial insights to the government and supply chain managers in terms of sharing information,and collection and remanufacturing operations.
Driven by the government's mechanism of reward-penalty,many manufacturers are engaging in collecting and remanufacturing operations.For the members of the closed-loop supply chain with the manufacturer collecting,they can forecast the uncertain market demand through using information technology.Generally,the forecast information is the private information of the retailer,which results in demand forecast information asymmetry in the closed-loop supply chain with the manufacturer collecting.In order to solve this problem,the demand forecast sharing decisions of the retailer is studied.Specifically,the following questions are mainly investigated:When both the manufacturer and the retailer can forecast,whether the retailer shares the forecast information voluntarily?If impossible,how to design a mechanism to induce it to share information?How does the government's mechanism of reward-penalty affect the equilibrium of information sharing?And how does the forecast accuracy affect the supply chain members' profits and the value of information sharing?A Stackelberg model between the manufacturer and the retailer is constructed.The manufacturer and the retailer first negotiate on information sharing agreement through a bargaining mechanism.And then the manufacturer acts as a Stackelberg leader and determines the wholesale price and the collection rate.As a follower,the retailer determines the retail price.This paper solves the multistage game by using a standard backward induction technique.In detail,the equilibrium decisions of the manufacturer and the retailer are first solved under the case of information sharing and non-information sharing,and then the firms' ex ante profits of both cases are computed,thereby obtaining the value of information sharing.Based on these results,this paper analyses the impact of demand forecast accuracy on the supply chain members' profits and the value of information sharing,and the values of information sharing and equilibrium information sharing decisions are investigated.The results show that in most cases,both the supply chain members can benefit from the precise demand forecasts.Besides,when the manufacturer's collection efficiency is high,voluntary information sharing is a unique equilibrium.When the efficiency is low,non-information sharing is a unique equilibrium.When efficiency is medium,the equilibrium of information sharing can be realized through a bargaining mechanism.Furthermore,the government's level of reward-penalty affects the equilibrium information sharing decisions.The research provides useful managerial insights to the government and supply chain managers in terms of sharing information,and collection and remanufacturing operations.
引文
[1]徐红.不同渠道和信息条件下闭环供应链的协调与激励研究[D].江苏:江苏大学,2014.
[2]王文宾,邓雯雯.逆向供应链的政府奖惩机制与税收—补贴机制比较研究[J].中国管理科学,2016,24(4):102-110.
[3]Savaskan R C,Bhattacharya S,Van Wassenhove L N.Closed-loop supply chain models with product remanufacturing[J].Management Science,2004,50(2):239-252.
[4]Shang Weixin,Ha A Y,Tong Shilu.Information sharing in a supply chain with a common retailer[J].Management Science,2016,62(1):245-263.
[5]Mishra B K,Raghunathan S,Yue X.Demand forecast sharing in supply chains[J].Production and Operations Management,2009,18(2):152-166.
[6]Li L.Information sharing in a supply chain with horizontal competition[J].Management Science,2002,48(9):1196-1212.
[7]Ha A Y,Tong Shilu.Contracting and information sharing under supply chain competition[J].Management Science,2008,54(4):701-715.
[8]陈金亮,宋华,徐渝.不对称信息下具有需求预测更新的供应链合同协调研究[J].中国管理科学,2010,18(1):83-89.
[9]Ha A Y,Tong Shilu,Zhang Hongtao.Sharing demand information in competing supply chains with production diseconomies[J].Management Science,2011,57(3):566-581.
[10]聂佳佳.预测信息分享对制造商开通直销渠道的影响[J].管理工程学报,2012,26(2):106-112.
[11]Li Tian,Zhang Hongtao.Information sharing in a supply chain with a make-to-stock manufacturer[J].Omega,2015,50:115-125.
[12]Zhou Maosen,Dan Bin,Ma Songxuan,et al.Supply chain coordination with information sharing:The informational advantage of GPOs[J].European Journal of Operational Research,2017,256(3):785-802.
[13]陈忠,艾兴政.双渠道信息共享与收益分享合同选择[J].系统工程理论与实践,2008,28(12):42-51.
[14]滕文波,庄贵军.基于电子渠道需求预测的渠道模式选择[J].中国管理科学,2011,19(5):71-78.
[15]Yan Ruiliang,Pei Zhi.Incentive information sharing in various market structures[J].Decision Support Systems,2015,76:76-86.
[16]Bian Wenliang,Shang J,Zhang Juliang.Two-way information sharing under supply chain competition[J].International Journal of Production Economics,2016,178:82-94.
[17]聂佳佳,熊中楷.信息分享模式对第三方负责回收闭环供应链的影响[J].管理工程学报,2011,25(2):74-81.
[18]聂佳佳.零售商信息分享对闭环供应链回收模式的影响[J].管理科学学报,2013,16(5):69-82.
[19]聂佳佳.需求信息预测对制造商回收再制造策略的价值[J].管理科学学报,2014,17(1):35-47.
[20]王文宾,达庆利.奖惩机制下具竞争制造商的废旧产品回收决策模型[J].中国管理科学,2013,21(5):50-56.
[21]Yue Xiaohang,Liu J.Demand forecast sharing in a dual-channel supply chain[J].European Journal of Operational Research,2006,174(1):646-667.
[22]Nagarajan M,Bassok Y.A bargaining framework in supply chains:The assembly problem[J].Management Science,2008,54(8):1482-1496.
[2]王文宾,邓雯雯.逆向供应链的政府奖惩机制与税收—补贴机制比较研究[J].中国管理科学,2016,24(4):102-110.
[3]Savaskan R C,Bhattacharya S,Van Wassenhove L N.Closed-loop supply chain models with product remanufacturing[J].Management Science,2004,50(2):239-252.
[4]Shang Weixin,Ha A Y,Tong Shilu.Information sharing in a supply chain with a common retailer[J].Management Science,2016,62(1):245-263.
[5]Mishra B K,Raghunathan S,Yue X.Demand forecast sharing in supply chains[J].Production and Operations Management,2009,18(2):152-166.
[6]Li L.Information sharing in a supply chain with horizontal competition[J].Management Science,2002,48(9):1196-1212.
[7]Ha A Y,Tong Shilu.Contracting and information sharing under supply chain competition[J].Management Science,2008,54(4):701-715.
[8]陈金亮,宋华,徐渝.不对称信息下具有需求预测更新的供应链合同协调研究[J].中国管理科学,2010,18(1):83-89.
[9]Ha A Y,Tong Shilu,Zhang Hongtao.Sharing demand information in competing supply chains with production diseconomies[J].Management Science,2011,57(3):566-581.
[10]聂佳佳.预测信息分享对制造商开通直销渠道的影响[J].管理工程学报,2012,26(2):106-112.
[11]Li Tian,Zhang Hongtao.Information sharing in a supply chain with a make-to-stock manufacturer[J].Omega,2015,50:115-125.
[12]Zhou Maosen,Dan Bin,Ma Songxuan,et al.Supply chain coordination with information sharing:The informational advantage of GPOs[J].European Journal of Operational Research,2017,256(3):785-802.
[13]陈忠,艾兴政.双渠道信息共享与收益分享合同选择[J].系统工程理论与实践,2008,28(12):42-51.
[14]滕文波,庄贵军.基于电子渠道需求预测的渠道模式选择[J].中国管理科学,2011,19(5):71-78.
[15]Yan Ruiliang,Pei Zhi.Incentive information sharing in various market structures[J].Decision Support Systems,2015,76:76-86.
[16]Bian Wenliang,Shang J,Zhang Juliang.Two-way information sharing under supply chain competition[J].International Journal of Production Economics,2016,178:82-94.
[17]聂佳佳,熊中楷.信息分享模式对第三方负责回收闭环供应链的影响[J].管理工程学报,2011,25(2):74-81.
[18]聂佳佳.零售商信息分享对闭环供应链回收模式的影响[J].管理科学学报,2013,16(5):69-82.
[19]聂佳佳.需求信息预测对制造商回收再制造策略的价值[J].管理科学学报,2014,17(1):35-47.
[20]王文宾,达庆利.奖惩机制下具竞争制造商的废旧产品回收决策模型[J].中国管理科学,2013,21(5):50-56.
[21]Yue Xiaohang,Liu J.Demand forecast sharing in a dual-channel supply chain[J].European Journal of Operational Research,2006,174(1):646-667.
[22]Nagarajan M,Bassok Y.A bargaining framework in supply chains:The assembly problem[J].Management Science,2008,54(8):1482-1496.