不确定用件条件下再制造系统的最优采购

IF 0.7 4区 管理学 Q3 Engineering Military Operations Research Pub Date : 2023-05-08 DOI:10.1287/opre.2023.2483
Emre Nadar, Mustafa Akan, L. Debo, Alan Scheller-Wolf
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引用次数: 1

摘要

再制造企业获得的二手物品的状况往往变化很大,只有经过检查才能真正了解。Nadar, Akan, Debo和Scheller-Wolf在“技术笔记-具有不确定的二手物品状况的再制造系统中的最优采购”中,通过考虑这种预检验的不确定性以及不同质量水平的可用二手物品的数量,研究了采购问题。作者为该问题的马尔可夫决策过程表示提供了一种新颖的最优策略结构。他们证明了最优采购决策取决于系统拥塞水平——质量水平加权的总再制造负荷。他们的结果表明,当可用物品的数量或任何可用物品的质量水平增加时,获取一个使用过的物品变得不那么可取。为了证明他们的结果,作者引入了一个新的泛函表征,它是超模性和离散凸性的松弛。
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Optimal Procurement in Remanufacturing Systems with Uncertain Used-Item Condition
The Importance of Considering System Congestion When Acquiring Used Items for Remanufacturing The condition of used items obtained by remanufacturers often varies widely and may only be truly known after an inspection. In “Technical Note–Optimal Procurement in Remanufacturing Systems with Uncertain Used-Item Condition,” Nadar, Akan, Debo, and Scheller-Wolf study the procurement problem by taking into account this pre-inspection uncertainty as well as the quantities of available used items of different quality levels. The authors provide a novel optimal policy structure for a Markov decision process representation of this problem. They prove that the optimal acquisition decision depends on the system congestion level — the total remanufacturing load weighted by the quality levels. Their results show that it becomes less desirable to acquire a used item as the number of available items or the quality level of any available item increases. To prove their results, the authors introduce a new functional characterization that is a relaxation of supermodularity and discrete convexity.
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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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