A Model for Optimizing Retail Space Allocations
提出一个同时考虑需求函数（主弹性和交叉弹性）和成本函数（采购、持有和缺货成本）的模型，用于优化零售货架空间分配，并通过案例和几何规划求解，证明其优于传统方法。
The allocation of scarce shelf space among competing products is a central problem in retailing. Space allocation affects store profitability through both the demand function, where both main and cross space elasticities have to be considered, and through the cost function (procurement, carrying and out-of-stock costs). A model is developed which uniquely incorporates both effects. A case study is used to estimate the parameters and the problem is solved within a geometrical programming framework. An extensive comparison with alternative procedures suggests this general model leads to significantly different allocation rules and superior profit performance.