对系统提前期/等待时间敏感的批量排队优化模型  

A Lead-time Sensitive Queuing Model of Lot Sizes in Job-shop System

作　　者：许一敏[1] 张毕西[1] 吴菊华[1] 

机构地区：[1]广东工业大学管理学院,广东广州510520

出　　处：《工业工程与管理》2011年第3期27-30,共4页Industrial Engineering and Management

基　　金：国家自然科学基金资助项目(70971026);教育部人文社会科学表年基金(10YJCZH176)

摘　　要：过长的制造提前期和过高的在制品库存等问题造成Job shop的生产系统瓶颈,传统的批量策略没有考虑到这些因素。分析了产能、WIP、平均等待时间、系统制造提前期等参数对批量决策的影响,提出了两种不同批量优化策略,分别是减少平均等待时间的最优批量策略和缩短制造提前期的最优批量策略。参数敏感性分析表明,产能约束下,这两种批量策略的运作绩效不同,管理者必须区分上述四个变量在批量决策中不同重要程度。Long lead time and high work-in-progress inventory level are prominent bottleneck in complex manufacturing environment.In this article two strategies to optimize the lot sizes are provided.One is to reduce the average queuing delay;the other is to shorten the average lead-time in manufacturing system.These two methods include production capability,batch sizes,the average queuing delay and average lead-time in system.The relationship between them is also investigated.Sensitive analysis shows that the four parameters differ in importance of batch decision.

关 键 词：批量决策 平均等待时间 缩短提前期 在制品库存 

分 类 号：F274[经济管理—企业管理]