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Pricing and inventory management in a system with multiple competing retailers under (r, Q) policies

机译:(r,Q)策略下具有多个竞争零售商的系统中的定价和库存管理

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摘要

We consider a multi-retailer system operated on an infinite horizon, in which each retailer faces stochastic demand following a Poisson process and adopts a continuous-review (r, Q) policy for replenishing inventory to satisfy customer demand. The system involves decisions of pricing and inventory management with the goal of maximizing profit, which equals the sales revenue minus the purchase and inventory costs. Taking Cournot competition into account, models are formulated to optimize simultaneously the expected sales volumes and (r, Q) policies of all retailers. An efficient approach is proposed to calculate the approximate inventory cost. Based on this approach, solution methods for centralized and decentralized scenarios are developed. A great number of numerical computations are provided to evaluate the efficiency of the solution methods, and their performance in the two scenarios. Moreover, system performance under sequential decisions (first pricing and then inventory management) is also investigated.
机译:我们考虑一个在无限远景下运行的多零售商系统,其中每个零售商都遵循泊松过程面对随机需求,并采用连续审查(r,Q)策略来补充库存以满足客户需求。该系统涉及定价和库存管理决策,目的是使利润最大化,该利润等于销售收入减去采购和库存成本。考虑到古诺的竞争,制定了模型以同时优化所有零售商的预期销量和(r,Q)策略。提出了一种有效的方法来计算近似的库存成本。基于这种方法,开发了集中式和分散式方案的解决方法。提供了大量数值计算来评估求解方法的效率及其在两种情况下的性能。此外,还研究了按顺序决策(首先定价然后是库存管理)下的系统性能。

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