LOWERING INVENTORY SYSTEMS COSTS BY USING REGRESSION-DERIVED ESTIMATORS OF DEMAND VARIABILITY

被引：3
作者：
JACOBS, RA [1 ]
WAGNER, HM [1 ]
机构：
[1] UNIV N CAROLINA,SCH BUSINESS,CHAPEL HILL,NC 27514
来源：
DECISION SCIENCES | 1989年 / 20卷 / 03期
关键词：
D O I：
10.1111/j.1540-5915.1989.tb01567.x
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
引用
收藏
页码：558 / 574
页数：17
相关论文
共 27 条
[1]   BAYES SOLUTION TO DYNAMIC INVENTORY MODELS UNDER UNKNOWN DEMAND DISTRIBUTION [J].
AZOURY, KS .
MANAGEMENT SCIENCE, 1985, 31 (09) :1150-1160
[2]   A COMPARISON OF THE OPTIMAL ORDERING LEVELS OF BAYESIAN AND NON-BAYESIAN INVENTORY MODELS [J].
AZOURY, KS ;
MILLER, BL .
MANAGEMENT SCIENCE, 1984, 30 (08) :993-1003
[3]  
BROWN RG, 1959, STATISTICAL FORECAST
[4]   STOCK CONTROL - EXPERIENCE AND USABLE THEORY [J].
BURGIN, TA ;
WILD, AR .
OPERATIONAL RESEARCH QUARTERLY, 1967, 18 (01) :35-&
[5]   THE INVENTORY PROBLEM: II. CASE OF UNKNOWN DISTRIBUTIONS OF DEMAND [J].
Dvoretzky, A. ;
Kiefer, J. ;
Wolfowitz, J. .
ECONOMETRICA, 1952, 20 (03) :450-466
[6]   POWER APPROXIMATION FOR COMPUTING (S,S) INVENTORY POLICIES [J].
EHRHARDT, R .
MANAGEMENT SCIENCE, 1979, 25 (08) :777-786
[7]   A REVISION OF THE POWER APPROXIMATION FOR COMPUTING (S,S) POLICIES [J].
EHRHARDT, R ;
MOSIER, C .
MANAGEMENT SCIENCE, 1984, 30 (05) :618-622
[8]  
EHRHARDT R, 1982, ADV TECHNIQUES PRACT
[9]  
EHRHARDT R, 1983, SIMULATION INVENTORY
[10]  
Frauchiger D., 2013, PRINCIPLES DISCRETE
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