INVENTORY CONTROL IN CASE OF UNKNOWN DEMAND DISTRIBUTION

被引：8

作者：

BULINSKAYA, EV

机构：

[1] Moscow State University, 119899 Moscow, Leninskie gory

来源：

ENGINEERING COSTS AND PRODUCTION ECONOMICS | 1990年 / 19卷 / 1-3期

关键词：

D O I：

10.1016/0167-188X(90)90056-N

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper we introduce the notion of asymptotically optimal policies, since it is impossible to obtain the optimal policy in the case of unknown demand distribution. A policy is called asymptotically optimal if the long run mean costs per time unit under this policy are equal to those under the optimal policy. The method of constructing the asymptotically optimal policies based on empirical data is demonstrated on the inventory model with two suppliers. © 1990.

引用

页码：301 / 306

页数：6

共 9 条

[1]

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[2]

Scarf, Bayes Solutions of the Statistical Inventory Problem, The Annals of Mathematical Statistics, 30, 2, pp. 490-508, (1959)

[3]

Girlich, Diskrete stochastische Entscheidungsprozesse und ihre Anwendung in der Lagerhaltung, (1973)

[4]

Fu, Stochastic inventory models with incomplete information, Dissertation, (1986)

[5]

Dimitrov, Fu, On the stochastic inventory models with incomplete demand information, Comptes rendus de l'Academie bulgare des Sciences, 40, 12, pp. 11-14, (1987)

[6]

Chernishev, Investigation of the simple inventory model with unknown demand distribution, Ser. Math.-Mech., 2, pp. 81-84, (1986)

[7]

Bulinskaya, Some results concerning inventory problems, Teoriya veroyatn. i primen, 9, 3, pp. 431-447, (1964)

[8]

Loeve, Probability Theory, (1960)

[9]

Shiryayev, Probability, (1984)

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