自然科学版
陕西师范大学学报(自然科学版)
数学与计算机科学
一种基于Weibull分布的库存控制策略
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赵国际1,孟晓红2,李竹林3,赵宗涛1,2
(1 西北大学 信息科学与技术学院, 陕西 西安710069; 2 第二炮兵工程学院 计算机系,陕西 西安 710025;3 延安大学 数学与计算机科学学院, 陕西 延安 716000)
赵国际,男,博士研究生,研究方向为信息管理.
摘要:
在分析大量库存信息的基础上,提出一种基于Weibull分布的库存控制策略.主要包括随机量库存率η(t)的定义及数学模型与表达其性质的定理,指出η(t)的分布规律为Weibull分布的概率密度函数,其变化的物理意义与库存实际情况相符;同时定义了任务、任务区段H(t),并以此作为约束条件得到控制库存率η(t)的策略:备件订购应在任务执行前越近越好,以控制η(t)分布尽快上升;任务执行时间区段越窄越好,以使η(t)值尽快下降.经实验应用,这些策略是有效的,它能为库存控制决策提供科学依据,使库存率降到最小范围.
关键词:
库存论; 维修备件; 库存控制; 统计分析; 库存率; Weibull分布
收稿日期:
2008-08-25
中图分类号:
O227
文献标识码:
A
文章编号:
1672-4291(2009)02-0018-04
基金项目:
第二炮兵装备部资助项目(EP2007401-197)
Doi:
Research on controlling strategy of inventory based on Weibull distribution
ZHAO Guo-ji1, MENG Xiao-hong2, LI Zhu-lin3, ZHAO Zong-tao1,2
(1 College of Information Science and Technology, Northwest University, Xi′an 710069, Shaanxi, China; 2 Department of Computer, The Second Artillery Engineering College, Xi′an 710025, Shaanxi, China; 3 College of Mathematics and Computer Science, Yan′an University, Yan′an 716000, Shaanxi, China)
Abstract:
On the basis of analysis of lots of inventory information, an inventory control strategy is presented based on Weibull distribution. It mainly includes the definition of inventory rate and mathematical model of η(t). The distribution of η(t) accords with the weibull distribution consistency, and its physical significance is in accord with actual inventory; meanwhile, the task and task section H(t) are defined. Using H(t) as restrictive condition, some strategies of control inventory rate η(t) are gained: spare parts ordering should be done before and close to the executing of task, the closer the better, in order to control η(t) distribution rising faster. These strategies are ive proved to be effective by experimental application. These strategies can provide scientific basis for inventory control decision-making and result in a lowest inventory rate according to the above-mentioned theory.
KeyWords:
theory of inventory; maintaining spare part; inventory control; statistic analysis; inventory rate; Weibull distribution