基于收益共享契约的双渠道供应链定价与库存动态联合优化研究

在双渠道快速发展，渠道冲突和挤压日益严重的大背景下，以收益共享为主要研究视角和分析工具，在一致定价、差别定价、动态多周期、有限理性和复杂自适应网络条件下，研究双渠道成员基于收益共享契约的定价与库存联合优化的途径和策略选择。首先，设计“多父体杂交-边界搜索” 的改进DE算法研究一致定价条件下双渠道的定价与库存联合优化，并与区别定价下的最优策略进行对比；其次，引入动态分析框架，揭示定价与库存策略的动态变化规律，探讨收益共享对动态联合优化的作用路径及调试机理；最后，引入有限理性的演化博弈方法，建立双渠道收益共享契约下的定价与库存联合优化演化博弈模型，探讨不同初始条件下的均衡策略实现路径和稳定性，并使用复杂自适应系统的网络演化方法，研究双渠道定价与库存联合优化的演化规则和动力学过程。项目研究既为解决渠道冲突提供了新的思路和方法，还从理论上探究双渠道成本节约路径和动态优化规则。

As dual channel develop rapidly, channel conflict and extrusion is becoming more and more serious, this project intend to use revenue sharing contract as the main research perspective and analysis tool to investigate the cooperation mechanism and strategy choice of pricing and inventory integration for dual channel supply chain under the conditions of uniform pricing, discrimination pricing, dynamic multi cycle, bounded rationality and complex network system. First of all, we design “Multi Parent Crossover-Boundary Search” MDE algorithm to study pricing and inventory integration based on revenue sharing contract and uniform pricing for dual channel supply chain, and compare the optimal strategy under the condition of uniform pricing. Secondly, use dynamic analytical framework to reveal the dynamic process and law of pricing and inventory policy, investigate effect path and debugging mechanism of revenue sharing contract on dynamic joint optimization. Finally, introduce evolutionary game analysis methods with bounded rationality to develop pricing and inventory integration evolutionary game model of dual channel to portray revenue sharing of online shopping supply chain, and study the equilibrium stability and achieving path under different initial conditions. Use evolutionary game approach of complex adaptive network to study evolution rules and dynamics process of pricing and inventory integration in dual channel supply chain. This project provide not only new idea and method for the solution of channel conflict, but also cost saving path and dynamic optimization rules for dual channel supply chain.