English(EN) Discrete-Time MDP Modeling for Multi-Item Capacitated Lot Sizing with Stochastic Demand Timing

新的DTMDP模型解决随机需求时序批量定货问题

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

研究人员开发了一个离散时间马尔可夫决策过程（DTMDP）模型，以解决具有随机需求时序的多品项产能约束批量定货问题。该模型考虑了产能竞争和特定需求延迟等因素。与确定性模型相比，DTMDP模型显著增加了计算需求。为了应对这些复杂性，提出了一种遗传算法（GA），该算法在基准实例上表现出色，平均最优性差距为3.44%，平均优化速度提升了6.89。 AI

影响为复杂的供应链优化问题引入了一种新颖的DTMDP方法，有可能提高在随机环境下的效率。

排序理由这是一篇详细介绍优化问题新建模方法的学术论文。

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · L\'ea Bayati, Mohamed Dahmoune, Melek Rodoplu · 2026-09-02 04:00

随机需求时机下多品项有容积限制的批量定货模型离散时间马尔可夫决策过程建模

arXiv:2609.00004v1 Announce Type: new Abstract: This paper studies a finite-horizon multi-item capacitated lot-sizing problem in which demand quantities are deterministic, while demand-arrival periods are stochastic. Each demand occurs once within a known time window and must be …

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随机需求时机下多品项有容积限制的批量定货模型离散时间马尔可夫决策过程建模

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