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Integrating the Promotional and Service Roles of Retail Inventories

机译:整合零售库存的促销和服务角色

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In some retail contexts, higher inventories not only improve service levels, but also stimulate demand by serving as a promotional tool (e.g., by increasing product visibility). Motivated by a building-products retailer's practice of stocking large quantities of products to stimulate demand, we study inventory management and pricing policies when demand is uncertain but increases with stocking quantity. We first characterize the profit-maximization policy for a stochastic inventory model with a general inventory-dependent demand distribution and given price, and show that demand stimulation (by inventories) has the effect of increasing the target service level beyond the classical newsvendor model's critical fractile ratio. To underscore the importance of considering both demand stochasticity and inventory influence, we consider two functionally oriented benchmark policies—a demand-driven policy and a critical fractile policy—that might, respectively, represent marketing and inventory managers' viewpoints. Our numerical analysis reveals that the optimal policy can generate considerably higher profits than the two complementary functional perspectives. Moreover, we prove that the optimal stocking quantity always exceeds the critical fractile solution and can even exceed the demand-driven stocking quantity. We also address the problem of jointly optimizing both stocking quantity and price for demand-stimulating products using a multiplicative model to represent the influence of price and stocking quantity on the demand distribution. For this model, we show that the pricing and stocking decisions can be determined sequentially, with the optimal policy setting higher prices and stock levels than both the functional policies.
机译:在某些零售环境中,较高的库存量不仅可以提高服务水平,还可以通过充当促销工具(例如,通过提高产品知名度)来刺激需求。受建筑产品零售商大量库存以刺激需求的做法的激励,当需求不确定但随库存数量增加时,我们研究库存管理和定价策略。我们首先针对具有一般库存依赖性需求分布和给定价格的随机库​​存模型来描述利润最大化策略,并表明需求刺激(通过库存)具有提高目标服务水平的作用,超出了经典新闻供应商模型的临界分形比。为了强调同时考虑需求随机性和库存影响的重要性,我们考虑了两个面向功能的基准策略-需求驱动策略和临界分形策略-可以分别代表市场营销和库存经理的观点。我们的数值分析表明,与两个互补的功能视角相比,最优政策可以产生更高的利润。此外,我们证明最佳库存量始终超过临界分形解,甚至可以超过需求驱动的库存量。我们还解决了使用乘法模型来表示价格和库存数量对需求分布的影响时,共同优化需求刺激产品的库存数量和价格的问题。对于此模型,我们显示可以按顺序确定定价和库存决策,而最优策略设置的价格和库存水平均高于两种功能策略。

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