Evaluating re-order levels and probabilities of stockout during a lead time for some stock-control models

被引:5
作者
Fong, DKH
Gempesaw, VM
机构
关键词
multiple sourcing; effective lead time; Gaussian quadrature rules;
D O I
10.2307/2584351
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
When several suppliers are concurrently used to replenish one stock item, it is often of interest to compute the mean and the variance of the effective lead time, i.e., the minimum of all lead times. However, in many cases, especially with non-identical lead time distributions, these quantities do not have closed form expressions and their calculation can be complicated. Difficulty in computation also arises in evaluating demand during lead time, even if there is only one supplier. This paper presents a numerical integration method using Gaussian quadrature to evaluate the effective lead time mean and variance, re-order level and the probability of stockout during the effective lead time. The Gaussian quadrature rules are easy to implement and several data sets are used in the paper to demonstrate the method.
引用
收藏
页码:321 / 328
页数:8
相关论文
共 19 条
[11]  
KRATZ LA, 1982, 4049 AN SERV CORP TE
[12]   THE TRUNCATED NORMAL-GAMMA MIXTURE AS A DISTRIBUTION FOR LEAD TIME DEMAND [J].
ORD, JK ;
BAGCHI, U .
NAVAL RESEARCH LOGISTICS, 1983, 30 (02) :359-365
[13]   MULTIPLE SOURCING - THE DETERMINATION OF LEAD TIMES [J].
PAN, AC ;
RAMASESH, RV ;
HAYYA, JC ;
ORD, JK .
OPERATIONS RESEARCH LETTERS, 1991, 10 (01) :1-7
[14]   SOLE VERSUS DUAL SOURCING IN STOCHASTIC LEAD-TIME (S, Q) INVENTORY MODELS [J].
RAMASESH, RV ;
ORD, JK ;
HAYYA, JC ;
PAN, A .
MANAGEMENT SCIENCE, 1991, 37 (04) :428-443
[15]  
RAMASESH RV, 1993, NAV RES LOG, V40, P279, DOI 10.1002/1520-6750(199303)40:2<279::AID-NAV3220400210>3.0.CO
[16]  
2-W
[17]  
SCULLI D, 1990, J OPER RES SOC, V41, P873, DOI 10.2307/2583503
[18]   STOCK CONTROL WITH 2 SUPPLIERS AND NORMAL LEAD TIMES [J].
SCULLI, D ;
WU, SY .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 1981, 32 (11) :1003-1009
[19]  
THESIS PENNSYLVANIA