首页> 外文期刊>International journal of production economics >Common replenishment cycle order policies for multiple products with capacity expansion opportunities and quantity discounts
【24h】

Common replenishment cycle order policies for multiple products with capacity expansion opportunities and quantity discounts

机译:具有扩容机会和数量折扣的多种产品的通用补货周期订单策略

获取原文
获取原文并翻译 | 示例
           

摘要

Many companies face the challenge of maintaining hundreds, if not thousands, of items in inventory, where each product draws from a common resource (e.g., warehouse space). The introduction of this common resource constraint complicates the traditional lot-sizing problem due to the interdependencies of the lot sizes. This challenge intensifies when the firm can adjust the capacity of the common resource and with the presence of quantity discounts, which may encourage the company to increase lot sizes. This paper develops efficient solutions for a constrained, multi-product lot-sizing problem with a common replenishment cycle, all-units quantity discounts, and a flexible common resource capacity. Historically, the common replenishment cycle (similar to the popular periodic review inventory system) excels in convenience but tends to lag behind in cost effectiveness. We extend the traditional common replenishment cycle approach through the introduction of a refinement policy that allows for more flexibility in the lot-sizing decisions. This modification allows companies to leverage quantity discounts for certain items without detrimental increases to the required common resource capacity (by increasing the cycle length). Via numerical examples and sensitivity analysis, we identify situations where the common replenishment cycle approach with refinement policy outperforms the alternative independent cycles approach in both convenience and cost. Good candidate companies include (1) a growing retailer, (2) a factory with limited storage space, (3) a retailer without secondary warehouse space, (4) a company purchasing bulky items, and (5) a firm located in an expensive city with premium storage space costs.
机译:许多公司面临着维持数百个甚至数千个库存项目的挑战,其中每种产品都来自一种公共资源(例如仓库空间)。由于批量大小的相互依赖性,这种公共资源约束的引入使传统的批量问题变得复杂。当企业可以调整公共资源的容量并存在数量折扣时,这一挑战会加剧,这可能会鼓励企业增加批量。本文针对具有共同补货周期,所有单位的数量折扣和灵活的共同资源容量的受限多产品批量问题,开发了有效的解决方案。从历史上看,常见的补货周期(类似于流行的定期审查库存系统)在便利性上很出色,但在成本效益方面却往往落后。我们通过引入优化策略扩展了传统的通用补货周期方法,该策略可在批量决策中提供更大的灵活性。此修改使公司可以利用某些项目的数量折扣,而不会不利地增加所需的公共资源容量(通过增加周期长度)。通过数值示例和敏感性分析,我们确定了带有细化策略的常见补货周期方法在便利性和成本方面均优于替代独立周期方法的情况。好的候选公司包括(1)成长中的零售商,(2)仓库空间有限的工厂,(3)没有二级仓库空间的零售商,(4)购买大件物品的公司以及(5)位于昂贵商店中的公司优质存储空间成本的城市。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号