Integer Factorization: Why Two-Item Joint Replenishment Is Hard

IF 0.7 4区 管理学 Q3 Engineering Military Operations Research Pub Date : 2022-11-02 DOI:10.1287/opre.2022.2390
Andreas S. Schulz, C. Telha
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引用次数: 1

Abstract

Joint replenishment problems constitute an important class of models in inventory management. They exhibit aspects of possible coordination among multiple products to save costs. Their computational complexity had been open even if there are just two products that need to be synced. In “Integer factorization: Why two-item joint replenishment is hard,” Schulz and Telha present a simple framework based on integer factorization to establish the computational hardness of two variants of the joint replenishment problem with two items. Whereas difficult to solve in practice and not believed to be solvable in polynomial time, integer factorization is not as difficult as NP-complete problems. The authors show that a similar technique can be used to show even the NP-completeness of one variant of the joint replenishment problem (again with just two items).
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整数分解:两项联合补给困难的原因
联合补货问题是库存管理中一类重要的模型。它们展示了多种产品之间可能的协调,以节省成本。即使只有两个产品需要同步,它们的计算复杂性也是开放的。在“整数分解:为什么两项联合补给困难”一文中,Schulz和Telha提出了一个基于整数分解的简单框架,以建立两项联合补给问题的两个变体的计算硬度。整数分解在实践中很难解决,而且不被认为是在多项式时间内可解的,但它并不像np完全问题那样困难。作者表明,类似的技术甚至可以用来证明联合补给问题的一个变体的np完备性(同样只有两个项目)。
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来源期刊
Military Operations Research
Military Operations Research 管理科学-运筹学与管理科学
CiteScore
1.00
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Military Operations Research is a peer-reviewed journal of high academic quality. The Journal publishes articles that describe operations research (OR) methodologies and theories used in key military and national security applications. Of particular interest are papers that present: Case studies showing innovative OR applications Apply OR to major policy issues Introduce interesting new problems areas Highlight education issues Document the history of military and national security OR.
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