考虑平台竞争的众包物流社会配送服务最优定价策略

基于互联网的众包物流服务平台共享社会闲置人力资源,为电子商务O2O提供最后一公里配送服务。通过配送服务的动态定价来调控众包物流的社会配送供应能力,成为优化众包物流平台运营的重要手段。在众包物流平台激烈的竞争环境下,考虑到众包物流社会化配送供应能力的不确定性,采用动态优化理论,建立平台价格竞争下众包物流社会配送服务最优定价模型。运用汉密尔顿函数求解社会配送服务最优价格,研究众包物流社会配送服务供应能力随着价格变化的规律,进一步,分析众包物流平台竞争对最优价格变化规律的影响。数值仿真结果表明,众包物流社会配送服务价格增长率随着平台竞争的加剧而增加,可以有效调控众包物流服务的供应与需求平衡,优化众包物流平台的期望收益。

Optimal Pricing for Crowdsourcing Logistics Socialized Services under Competitive Platforms

The crowdsourcing logistics platforms on Internet provide last mile delivery services for online to offline electronic commerce, with shared social human resources which could be adjusted by dynamic pricing of delivery services. Considering the price competition between the crowdsourcing logistics services platforms, the optimal pricing model for crowdsourcing logistics socialized services is created and the optimal solution is deducted with the Hamiltonian function method based on dynamic optimal theory. The optimal pricing trajectory to balance the socialized service supply and demand is studied. And, the numeric simulation results show that the increasing rate of socialized delivery services prices rises faster with more fierce competitive degree of crowdsourcing platforms. The dynamic pricing tactics of crowdsourcing logistics services could increase socialized delivery capacity and expected revenue of platforms.