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Optimal Markdown Pricing and Inventory Allocation for Retail Chains with Inventory Dependent Demand

机译:具有库存相关需求的零售链的最优降价定价和库存分配

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We analyze how inventory dependence of demand affects the optimal pricing and distribution of inventory across multiple retail locations. Our problem formulation corresponds to the typical markdown management decisions in a retail chain. The solution methodology determines the optimal combinations of three important operational levers-pricing, inventory allocation, and store consolidation. Inventory dependence causes the optimal price trajectory to decrease over time as the current on-hand inventory decreases. The optimal inventory allocation shifts more inventory to the larger stores as the inventory effect becomes stronger. Solution methodologies are also developed for the case of optimal constant prices, which leads to the same optimal inventory allocations. If all stores have the same seasonal variations and the inventory is allocated optimally, then all stores have identical price trajectories. Optimal consolidation of the inventory to a subset of the stores is also determined. Consolidation of inventory to a subset of stores can be beneficial even when there are no fixed costs of stocking a store. Using some typical parameter values for retail items, our calculations show that significant benefits can result from taking the inventory effect into account in pricing, inventory allocation, and store consolidation decisions.
机译:我们分析需求的库存依赖性如何影响多个零售地点的最优定价和库存分配。我们制定的问题与零售链中典型的降价管理决策相对应。该解决方案方法确定了三个重要操作杠杆(定价,库存分配和商店合并)的最佳组合。随着当前现有库存的减少,库存依赖性导致最佳价格轨迹随时间减少。随着库存效果变得更强,最佳库存分配将更多库存转移到更大的商店。还针对最优恒定价格开发了解决方案方法,这导致了相同的最优库存分配。如果所有商店都具有相同的季节性变化并且最优地分配了库存,那么所有商店都将具有相同的价格轨迹。还确定了将库存最佳合并到商店的子集。即使没有固定的库存成本,将库存合并到部分商店也可能是有益的。通过使用一些零售项目的典型参数值,我们的计算表明,在定价,库存分配和商店合并决策中考虑库存效应可以带来显着的收益。

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