Designing public storage warehouses with high demand for revenue maximisation
针对高需求环境，提出一个结合排队论和价格需求理论的收益模型，用动态规划求解公共仓储仓库的设计与定价问题，实验表明平均预期收益可提升16.6%。
The design of public storage warehouses needs to fit market segments to increase the average revenue in an environment of high demand. This paper presents a revenue model integrated with queuing and price-demand theories to solve the design and pricing problem for public storage warehouses. We consider two demand cases in the model, which are exponential demand and piecewise linear demand. We also develop a solution based on dynamic programming techniques to solve the problem. Using data from a warehouse, we conduct numerical experiments. Results show that our approach can improve the expected revenue of public storage warehouses with high demand by 16.6% on average. We further conduct sensitivity analysis on price, and investigate the relation between revenue and price.