基于微分博弈的三级供应链质量改进和广告宣传策略研究  被引量:3

Research on Quality Improvement and Advertising Strategy of Three-level Supply ChainBased on Differential Game

在线阅读下载全文

作  者:廖长华 LIAO Chang-hua(School of Business,Jiangnan University,Wuxi 214122,China)

机构地区:[1]江南大学商学院,江苏无锡214122

出  处:《物流工程与管理》2022年第7期83-89,82,共8页Logistics Engineering and Management

摘  要:文中以一个供应商、一个制造商和一个零售商构成的三级供应链为研究对象,引入微分博弈方法,在动态框架下研究Nash非合作博弈、Stackelberg博弈和集中决策三种情形下,渠道成员的最优质量改进努力程度、广告宣传策略、供应链成员收益和整条供应链总收益,并对三种博弈情形下的最优策略进行分析比较。研究发现,Stackelberg博弈与Nash非合作博弈的制造商的质量改进努力程度和广告宣传策略相同,但Stackelberg博弈相比Nash非合作博弈,能够提升质量改进和广告宣传努力程度,增加供应链成员收益,表明成本分担机制实现帕累托改善;集中决策下,供应链系统收益达到最大。最后,文中进行数据仿真实验,通过算例分析验证了理论推导的结果。This paper takes a three-level supply chain consisting of a supplier,a manufacturer and a retailer as the research object,introduces the differential game method,and studies the channel members relationships in three situations of Nash non-cooperative game,Stackelberg game and centralized decision-making under the dynamic framework.Optimal quality improvement efforts,advertising strategies,revenue of supply chain members and total revenue of the entire supply chain,and the optimal strategies under three game situations are analyzed and compared.The study found that the quality improvement efforts and advertising strategies of manufacturers in the Stackelberg game and the Nash non-cooperative game are the same,but the Stackelberg game can improve the quality improvement and advertising efforts compared with the Nash non-cooperative game,and increase the benefits of supply chain members,which shows that the cost sharing mechanism achieves Pareto improvement;under centralized decision-making,the supply chain system benefits are maximized.Finally,the paper conducts data simulation experiments and verifies the results of theoretical derivation through numerical example analysis.

关 键 词:微分博弈 三级供应链 质量改进 广告策略 

分 类 号:F274[经济管理—企业管理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象