Robust inventory problem with budgeted cumulative demand uncertainty

被引:1
|
作者
Guillaume, Romain [1 ]
Kasperski, Adam [2 ]
Zielinski, Pawel [2 ]
机构
[1] Univ Toulouse IRIT, Toulouse, France
[2] Wroclaw Univ Sci & Technol, Wroclaw, Poland
关键词
Production planning; Demand uncertainty; Robust optimization; OPTIMIZATION;
D O I
10.1007/s11590-022-01875-9
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, a robust inventory problem with uncertain cumulative demands is considered. Interval-budgeted uncertainty sets are used to model possible cumulative demand scenarios. It is shown that under discrete budgeted uncertainty the robust min-max problem can be solved in polynomial time. On the other hand, for continuous budgeted uncertainty, the problem is weakly NP-hard. It can be solved in pseudopolynomial time and admits an FPTAS for nonoverlapping cumulative demand intervals.
引用
收藏
页码:2543 / 2556
页数:14
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