首页> 外文会议>IFIP WG 5.7 international conference on advances in production management systems >A Proposed Approach to Extend the Economic Order Quantity (EOQ) Model Using Discrete Event Simulation
【24h】

A Proposed Approach to Extend the Economic Order Quantity (EOQ) Model Using Discrete Event Simulation

机译:使用离散事件仿真扩展经济秩序数量(EOQ)模型的提出方法

获取原文

摘要

The economic order quantity (EOQ) and the economic production quantity (EPQ) are well-known and commonly used inventory control techniques. The standard results are easy to apply but are based on a number of unrealistic assumptions. One of the assumption is that the demand is normally distributed in any interval. In several practical cases the assumption about independence of successive demands, and consequently demand normal distribution in any interval, is not supported by real data. This paper investigates the effects on the expected service level (SL) after relaxing normal distribution assumption on the demand. The present work shows a possible strategy to use classic inventory model, such as EOQ/EPQ model, adopting discrete event simulation analysis to quantify model performances under relaxed assumptions.
机译:经济秩序数量(EOQ)和经济生产量(EPQ)是众所周知的和常用库存控制技术。标准结果易于申请,但基于许多不切实际的假设。其中一个假设是需求通常以任何间隔分布。在几种实际情况下,真实数据不支持任何间隔内容的独立性,并因此在任何间隔内都有正常分布的假设。本文在放松需求上放松正常分布假设后,研究了对预期服务水平(SL)的影响。本工作显示了使用经典库存模型的可能策略,例如EOQ / EPQ模型,采用离散事件仿真分析来量化放宽假设下的模型性能。

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