A DYNAMIC LOT SIZING MODEL WITH LEARNING IN SETUPS

被引：40

作者：

CHAND, S ^{[1
]}

SETHI, SP ^{[1
]}

机构：

[1] UNIV TORONTO,FAC MANAGEMENT,TORONTO M5S 1A1,ONTARIO,CANADA

来源：

OPERATIONS RESEARCH | 1990年 / 38卷 / 04期

关键词：

D O I：

10.1287/opre.38.4.644

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

This paper considers the dynamic lot sizing problem of H.M. Wagner and T.M. Whitin with the assumption that the total cost of n setups is a concave nondecreasing function of n. Such setup costs could arise from the worker learning in setups and/or technological improvements in setup methods. An efficient dynamic programming algorithm is developed to solve a finite horizon problem and results are presented to find decision/forecast horizons. Several new results presented in the paper have potential use in solving other related problems.

引用

页码：644 / 655

页数：12

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