Two-stage minimax regret robust uncapacitated lot-sizing problems with demand uncertainty

被引:25
|
作者
Zhang, Muhong [1 ]
机构
[1] Arizona State Univ, Sch Comp Informat & Decis Syst Engn, Tempe, AZ 85287 USA
关键词
Lot-sizing; Minimax regret; Mixed integer programming; Robust optimization; COMBINATORIAL OPTIMIZATION PROBLEMS; ALGORITHM; TIME;
D O I
10.1016/j.orl.2011.06.013
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, we consider the two-stage minimax robust uncapacitated lot-sizing problem with interval uncertain demands. A mixed integer programming formulation is proposed. Even though the robust uncapacitated lot-sizing problem with discrete scenarios is an NP-hard problem, we show that it is polynomial solvable under the interval uncertain demand set. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:342 / 345
页数:4
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