On the computational complexity of uncapacitated multi-plant lot-sizing problems

被引:0
|
作者
Jesus O. Cunha
Hugo H. Kramer
Rafael A. Melo
机构
[1] Universidade Federal do Ceará,Departamento de Estatística e Matemática Aplicada
[2] Universidade Federal da Paraíba,Departamento de Engenharia de Produção
[3] Universidade Federal da Bahia,Computational Intelligence and Optimization Research Laboratory (CInO), Departamento de Ciência da Computação
来源
Optimization Letters | 2021年 / 15卷
关键词
Multi-plant lot-sizing; Production planning; Computational complexity; NP-hard;
D O I
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学科分类号
摘要
Production and inventory planning have become crucial and challenging in nowadays competitive industrial and commercial sectors, especially when multiple plants or warehouses are involved. In this context, this paper addresses the complexity of uncapacitated multi-plant lot-sizing problems. We consider a multi-item uncapacitated multi-plant lot-sizing problem with fixed transfer costs and show that two of its very restricted special cases are already NP-hard. Namely, we show that the single-item uncapacitated multi-plant lot-sizing problem with a single period and the multi-item uncapacitated two-plant lot-sizing problem with fixed transfer costs are NP-hard. Furthermore, as a direct implication of the proven results, we also show that a two-echelon multi-item lot-sizing with joint setup costs on transportation is NP-hard.
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页码:803 / 812
页数:9
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