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渠道努力下互补型闭环供应链定价与服务决策
引用本文:谢家平,梁玲,孔凡玉,孔訸炜.渠道努力下互补型闭环供应链定价与服务决策[J].系统工程理论与实践,2017,37(9):2331-2343.
作者姓名:谢家平  梁玲  孔凡玉  孔訸炜
作者单位:1. 上海财经大学 国际工商管理学院, 上海 200433;2. 上海对外经贸大学 会展与旅游学院, 上海 201620
基金项目:国家自然科学基金(71272015,71402053,71273091)
摘    要:本文基于线上销售-线下服务的互补型双渠道闭环供应链模式,分别考虑了线上直销商主导定价和服务决策(M型),以及单一线上直销商-单一线下服务商(M-S型)基于收益共享机制的两种模型定价和服务决策,研究其产品定价,回收定价,库存决策,渠道服务努力以及最优回收量等问题.通过比较分析研究发现:渠道服务水平与服务敏感系数正相关,但回收价格较逆向渠道服务水平受服务敏感系数的影响程度在M型情景下更明显.继而我们又探讨了逐期回收情境下的定价与服务决策,发现再制造节约的成本增大,且市场需求受渠道服务更加敏感时,M型情景下的决策会提高服务水平或降低产品价格以求维持市场份额:并且当正向服务渠道收益等于逆向渠道损失时,服务商(零售商)做决策时将不再考虑直销商(制造商)的产品定价决策。最后,我们通过数值分析观察了不同的转移支付系数对正逆向服务水平比例的影响以及对决策变量的影响。

关 键 词:渠道互补  收益共享  产品与回收定价  渠道努力水平  
收稿时间:2016-04-05

Pricing and service optimization in complementary closed-loop supply chain based on channel effort
XIE Jiaping,LIANG Ling,KONG Fanyu,KONG Hewei.Pricing and service optimization in complementary closed-loop supply chain based on channel effort[J].Systems Engineering —Theory & Practice,2017,37(9):2331-2343.
Authors:XIE Jiaping  LIANG Ling  KONG Fanyu  KONG Hewei
Institution:1. School of International Business Administration, Shanghai University of Finance and Economics, Shanghai 200433, China;2. Tourism and Event Management School, Shanghai University of International Business and Economics, Shanghai 201620, China
Abstract:This paper considered the problem of optimal pricing decision, inventory, channel effort level and optimal recovery in two contexts based on a complementary dual-channel with online sales and offline services model in a closed-loop supply chain. One context is the online distributor led pricing and service decisions (M mode); the other one is single online distributor-single offline service provider based on revenue-sharing mechanism (M-S mode). By comparing the two situations, we find that channel services-on sensitive coefficient of service are elasticity, but only in the M mode, the recovery price on sensitive coefficients of service is elasticity. Then, we further studied the pricing and service decisions in a context by successive-period recovery. We find that if the remanufacturing cost savings increase and channel services are sensitive to demand, M mode would improve service levels and reduce product price to maintain market share; but M-S mode with revenue-sharing mechanism, service levels would reduce and the product price would be lower. And when the forward channel services are equal to the reverse channel losses, the service providers would no longer make decisions based on the distributor's pricing decision. Finally, we observed the different influence on transfer coefficients on forward/reverse proportion of service levels and the influence on decision variables.
Keywords:complementary channel  revenue sharing  product and recovery pricing  channel effort level  
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