当前位置: X-MOL 学术arXiv.cs.CC › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The Continuous Joint Replenishment Problem is Strongly NP-Hard
arXiv - CS - Computational Complexity Pub Date : 2020-06-07 , DOI: arxiv-2006.05310
Alexander Tuisov, Liron Yedidsion

The Continuous Periodic Joint Replenishment Problem (CPJRP) has been one of the core and most studied problems in supply chain management for the last half a century. Nonetheless, despite the vast effort put into studying the problem, its complexity has eluded researchers for years. Although the CPJRP has one of the tighter constant approximation ratio of 1.02, a polynomial optimal solution to it was never found. Recently, the discrete version of this problem was finally proved to be NP-hard. In this paper, we extend this result and finaly prove that the CPJRP problem is also strongly NP-hard.

中文翻译:

连续联合补货问题是强 NP-Hard

连续周期性联合补货问题(CPJRP)是近半个世纪以来供应链管理中研究最多的核心问题之一。尽管如此,尽管为研究这个问题付出了巨大的努力,但其复杂性多年来一直困扰着研究人员。尽管 CPJRP 具有更严格的常数近似比 1.02 之一,但从未找到它的多项式最优解。最近,这个问题的离散版本终于被证明是 NP-hard。在本文中,我们扩展了这个结果并最终证明了 CPJRP 问题也是强 NP-hard 问题。
更新日期:2020-06-11
down
wechat
bug