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Optimal ordering policies in inventory systems with random demand and random deal offerings

机译:具有随机需求和随机交易产品的库存系统中的最佳订购策略

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In this paper, we determine the optimal order policies for a firm facing random demand and random deal offerings. In a periodic review setting, a firm may first place an order at the regular price. Later in the period, if a price promotion is offered by the supplier (with a certain probability), the firm may decide to place another order. We consider two models in the paper. In the first model, the firm does not share the cost savings (due to the promotion offered by the supplier) with its own customers, i.e. its demand distribution remains fixed. In the second model, the cost savings are shared with the final customers. As a result, the demand distribution shifts to the right. For both the models, in a dynamic finite-horizon problem, the order policy structure is divided into three regions and is as follows. If the initial inventory level for the firm exceeds a certain threshold level, it is optimal not to order anything. If it is in the medium range, it is optimal to wait for the promotion and order only if it is offered. The order quantity when the promotion is offered has an ‘order up to’ policy structure. Finally, if the inventory level is below another threshold, it is optimal to place an order at the regular price, and to place a second order if the promotion is offered. The low initial inventory level makes it risky to just wait for the promotion to be offered. The sum of the order quantities in this case has an ‘order up to’ structure. Finally, we model the supplier's problem as a Stackelberg game and discuss the motivation for the supplier to offer a promotion for the case of uniform demand distribution for the firm. In the first model (when the firm does not share the cost savings with its customers), we show that it is rarely optimal for the supplier to offer a promotion. In the second model, the supplier may offer a promotion depending on the price elasticity of the product.
机译:在本文中,我们确定了面对随机需求和随机交易产品的公司的最佳订购策略。在定期审核的情况下,公司可以先以正常价格下订单。在此期间的晚些时候,如果供应商(有一定的可能性)提供了价格促销,则该公司可能决定再次下订单。我们在本文中考虑了两种模型。在第一种模型中,公司不会与自己的客户共享成本节省(由于供应商提供的促销),即其需求分配保持不变。在第二种模式中,节省的成本与最终客户共享。结果,需求分配向右移动。对于这两个模型,在动态有限水平问题中,订单策略结构分为三个区域,如下所示。如果公司的初始库存水平超过某个阈值水平,则最好不要订购任何东西。如果处于中等范围,则最好仅在提供促销后才订购促销和订购。提供促销时的订单数量具有“最多订购”政策结构。最后,如果库存水平低于另一个阈值,则最好以正常价格下订单,如果提供促销则下第二笔订单。较低的初始库存水平使得仅等待促销活动是有风险的。在这种情况下,订单数量的总和具有“最多订购量”结构。最后,我们将供应商的问题建模为Stackelberg博弈,并讨论了供应商在公司需求分配均匀的情况下提供促销的动机。在第一个模型中(当公司不与客户分担成本节省时),我们显示出供应商提供促销的最佳方案很少。在第二种模式中,供应商可以根据产品的价格弹性提供促销。

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