东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2018, Vol. 39 ›› Issue (5): 750-755.DOI: 10.12068/j.issn.1005-3026.2018.05.029

• 管理科学 • 上一篇    下一篇

风险厌恶下基于产品生命周期的供应链定价策略

庞卫宏1， 陈卫华1,2， 李凯1， 苑红涛1,2   

  1. (1. 东北大学 工商管理学院， 辽宁 沈阳110169; 2. 沈阳华晨宝马汽车有限公司， 辽宁 沈阳110403)
  • 收稿日期:2016-12-23 修回日期:2016-12-23 出版日期:2018-05-15 发布日期:2018-05-25
  • 通讯作者: 庞卫宏
  • 作者简介:庞卫宏(1976-)，男，河北滦县人，东北大学博士研究生； 李凯(1957-)，男，辽宁沈阳人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(71472032，71172150).

Supply Chain Pricing Strategy Based on Product Life Cycle Under Risk-Aversion

PANG Wei-hong1， CHEN Wei-hua1,2， LI Kai1， YUAN Hong-tao1,2   

  1. 1. School of Business Administration， Northeastern University， Shenyang 110169，China; 2. BMW Brilliance Automotive， Shenyang 110403， China.
  • Received:2016-12-23 Revised:2016-12-23 Online:2018-05-15 Published:2018-05-25
  • Contact: PANG Wei-hong
  • About author:-
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摘要： 借助均值-方差方法研究基于产品生命周期的供应链定价决策问题.根据导入期、成长期、成熟期和衰退期的产品需求的不同，构建不同的决策目标函数，分析不同时期的供应链定价策略，并给出决策者的最优零售价格、批发价格以及运作绩效.研究发现，零售商越厌恶风险其零售价格越低而制造商批发价格越高，制造商越厌恶风险其批发价格越低且零售商价格越低;当制造商以市场需求量为决策目标，市场需求度越高，其批发价格越低且零售商零售价格越低;产品生命周期越长，其市场地位越稳定，制造商与零售商的销售价格越高.

关键词: 供应链, 均值-方差, 风险态度, 产品生命周期, 定价策略, 运作绩效

Abstract: Based on the product life cycle， the mean-variance method was adopted to investigate the supply chain pricing strategy. According to the demands in different periods of product life cycle， different decision-making functions were firstly constructed， then the pricing strategies of supply chain in different periods were analyzed， and finally the optimal retail price， wholesale price and operating performance were provided. It was revealed that the retailer price becomes lower and the wholesale price is higher when retailers’ risk aversion increases; the retail price and wholesale price become lower when manufacturers’ risk aversion increases; and the market position becomes more stable and the price of manufacturers and retailers becomes higher when the product life cycle is longer.

Key words: supply chain, mean-variance, risk attitude, product life cycle, pricing strategy, operating performance

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