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Coordinated pricing and inventory decisions for perishable products

机译:易腐产品的协调定价和库存决策

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We investigate the problem of jointly determining the optimal pricing and inventory replenishment strategy for a deterministic perishable inventory system in which demand is time and price dependent. The inventory is also assumed to decay at a certain rate. The seller has the opportunity to adjust prices for a discrete number of times at a certain cost during the sales season to influence demand and to improve revenues. We develop a mathematical model to find the optimal times to change the prices, the optimal prices and the optimal order quantity. We present analytical results to find the optimal prices when the times of price changes are given and design heuristic algorithms to determine the optimal times to change the prices. We analyze the efficiency of multiple pricing strategy by comparing the profits obtained by single pricing case and also analyze the effect of different parameters on the optimal solution through numerical experiments.
机译:我们研究了为需求与时间和价格相关的确定性易腐库存系统共同确定最佳定价和库存补充策略的问题。还假定库存以一定速率衰减。卖方有机会在销售旺季期间以一定成本调整价格多次离散,以影响需求并提高收入。我们开发了一个数学模型,以找到更改价格,最佳价格和最佳订单数量的最佳时间。我们给出分析结果,以便在给出价格更改时间时找到最佳价格,并设计启发式算法来确定更改价格的最佳时间。我们通过比较单个定价案例获得的利润来分析多重定价策略的效率,并通过数值实验分析不同参数对最优解决方案的影响。

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