Revenue Optimization of Capacity Scheme and Allocation of Third Party Warehousing
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摘要: 基于收益管理思想,对随机市场需求条件下仓储能力的配置与分配问题进行了研究,以谋求收益最大化.建立了随机规划模型,并运用稳健优化处理随机变量,将随机问题转换为线性规划问题.通过实例仿真,确定了最优仓储能力配置和分配方案,并对结果进行了分析.计算结果表明,用该模型优化的收益增长了2.66%.Abstract: Based on the principle of revenue management,capacity scheme and allocation under a stochastic market demand was investigated in order to maximize the revenue of third party warehousing.A stochastic model was established,and robust optimization was used to the stochastic variables so as to turn the stochastic problem into a linear programming one.In addition,the optimal capacity scheme and capacity allocation policy were determined on the basis of numerical examples.The numerical results show that with the help of the model,revenue increases by 2.66%.
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