...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Production Research >Multi-item inventory model with variable backorder and price discount under trade credit policy in stochastic demand
【24h】

Multi-item inventory model with variable backorder and price discount under trade credit policy in stochastic demand

机译：随机需求下贸易信贷政策下具有可变缺口和价格折扣的多项目库存模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, a two echelon supply chain with one manufacturer and one retailer is developed for multi products. The retailer faced with the uncertain demand for all products which follows a normal distribution. The production process is assumed to be imperfect, and the defectiveness is assumed to follow a beta distribution. The manufacturer produces and delivers the products in a number of equal-sized batches to the manufacturer's warehouse, and thereby it is delivers in a number of equal batches to the retailer's warehouse. Shortages are allowed to occur, at the retailer side, and it is backordered partially. The retailer offers a price discount for backordered items to his customers. Both the lead time crashing cost and the partial backorder ratio are considered as the inverse function of lead time. Under these assumptions, there are three inventory models proposed in this paper, one with non-integrated approach, the other with an integrated approach without trade credit and finally an integrated approach with trade credit. A new iterative algorithmic procedure has been developed to minimise the total cost. Finally, numerical examples are given to illustrate the models and the sensitivity analysis is conducted over various model parameters.
机译：在本文中，为多产品开发了一个带有一个制造商和一个零售商的两个梯队供应链。零售商面临不确定对正常分布的所有产品的需求。假设生产过程是不完美的，假设缺陷率遵循β发行。制造商生产并将产品中的许多相同的批量提供给制造商的仓库，从而将多个平等批次交付给零售商的仓库。允许在零售商侧发生短缺，并且它部分延期。零售商为其客户提供延期交货物品的价格折扣。提前期崩溃成本和部分缺货比都被视为提前期的逆函数。在这些假设下，本文提出了三种库存模型，一个具有非综合方法，另一个具有贸易信贷的综合方法，最后是贸易信贷的综合方法。已经开发出一种新的迭代算法程序来最小化总成本。最后，给出了数值例子来说明模型，并且在各种模型参数上进行灵敏度分析。

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