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A decomposition-based approach for large-scale pickup and delivery problems 一种基于分解的大规模取货问题处理方法
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2026-01-25 DOI: 10.1016/j.ejor.2026.01.037
Gerhard Hiermann, Maximilian Schiffer
With the advent of self-driving cars, experts envision autonomous mobility-on-demand services as a promising solution to improve the status quo in overloaded transportation systems. In this context, we are interested in solving very large-scale pickup and delivery routing problems that arise in the context of on-demand mobility. We provide an algorithmic framework that sets a new state of the art in solving instances with more than 20,000 requests. Our framework comprises a decomposition based matheuristic, an iterative local search (ILS), and a hybrid algorithm that uses the matheuristic to warmstart the ILS. We provide thorough computational analyses of each algorithm’s performance, advantages, and disadvantages. Moreover, we show that our algorithmic framework allows to improve upon the state of the art for existing large-scale benchmark instances. We round off our analyses by providing managerial insights based on system improvement bounds from a full-information perspective, analyzing a real-world case study with more than 20,000 requests.
随着自动驾驶汽车的出现,专家们认为,自动移动按需服务是一种很有前途的解决方案,可以改善交通系统超载的现状。在这种情况下,我们感兴趣的是解决在按需移动环境中出现的非常大规模的取货和送货路线问题。我们提供了一个算法框架,在解决超过20,000个请求的实例时设置了一个新的艺术状态。我们的框架包括一个基于分解的数学算法、一个迭代局部搜索(ILS)和一个使用数学算法来启动ILS的混合算法。我们对每种算法的性能、优缺点进行了全面的计算分析。此外,我们表明,我们的算法框架允许改进现有大规模基准测试实例的技术状态。我们通过从全信息的角度提供基于系统改进界限的管理见解来完善我们的分析,分析了一个包含超过20,000个请求的真实案例研究。
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引用次数: 0
Separability and Network Models 可分离性和网络模型
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2026-01-24 DOI: 10.1016/j.ejor.2026.01.040
Rolf F. Färe, Daniel Primont, William L. Weber
The paper establishes a theoretical link between separability and network models. The link allows directed networks to be represented as functions with input aggregates constructed from homogeneous functions. These aggregates link divisions or stages of production so that intermediate products do not need to be observed. The aggregates are closely related to Benefit-of-the Doubt composite indexes estimated using DEA. Two applications of the theory are offered by examining scientific knowledge production.
本文建立了可分性与网络模型之间的理论联系。该链接允许将有向网络表示为具有由同构函数构造的输入聚合的函数。这些集合体将各个生产部门或生产阶段联系起来,因此不需要观察中间产品。这些总量与DEA估计的怀疑收益综合指数密切相关。通过对科学知识生产的考察,提出了这一理论的两种应用。
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引用次数: 0
new Product Recommendation in Online Platforms as Marketplaces or Resellers 作为市场或经销商的在线平台的新产品推荐
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2026-01-24 DOI: 10.1016/j.ejor.2026.01.010
Jiongye Wang, Tao Zhang, Giri Kumar Tayi
New product recommendation (NPR), which enhances the visibility of new products and improves consumers’ shopping experience by offering personalized recommendations, has been widely adopted by e-commerce platforms such as Amazon and JD.com. However, NPR also leads to challenges, including the hasty introduction of new products and the intensified competition between new and existing products, making its impact on the platform an open question. We formulate a game-theoretic model to analyze the introduction of a new product (i.e., of higher- or lower-quality, and low-awareness) and competition between vertically differentiated manufacturers under NPR-adoption, with a particular focus on the platform’s role as marketplace or reseller. We show that NPR changes the nature of competition between manufacturers by altering consumer segmentation, i.e., market cannibalization effect and market expansion effect, which dramatically affect the platform’s profit. In particular, NPR generally broadens the scope of new product introductions for both channel structures, although the specific conditions for introduction differ. Specifically, marketplace platforms rely on precise relative quality thresholds for introduction, while reseller platforms ensure the introduction of all higher-quality products once NPR is adopted due to upstream competition. However, NPR increases the profitability of new products while bringing unexpected competition, which may backfire when new products’ quality is relatively low for marketplace platforms. Further, for the benefits of NPR adoption, we find that reseller platforms gain more when new-product quality is low or consumer awareness is high, whereas marketplace platforms benefit more from high-quality new products and low consumer awareness. While showing robustness through several extensions, these findings advocate that e-commerce platforms should implement NPR with caution.
新产品推荐(NPR),通过提供个性化的推荐来提高新产品的知名度,改善消费者的购物体验,已经被亚马逊和京东等电子商务平台广泛采用。然而,NPR也带来了挑战,包括新产品的仓促推出,新产品与现有产品之间的竞争加剧,这使得它对平台的影响成为一个悬而未决的问题。我们制定了一个博弈论模型来分析新产品的引入(即高质量或低质量,低认知度)和垂直差异化制造商之间的竞争,并特别关注平台作为市场或经销商的角色。我们发现,NPR通过改变消费者细分来改变厂商之间的竞争性质,即市场蚕食效应和市场扩张效应,从而极大地影响平台的利润。特别是,NPR一般拓宽了两种渠道结构的新产品引入范围,尽管引入的具体条件有所不同。具体来说,市场平台依赖于精确的相对质量门槛进行引入,而经销商平台则确保在上游竞争采用NPR后引入所有更高质量的产品。然而,NPR增加了新产品的盈利能力,同时带来了意想不到的竞争,当市场平台的新产品质量相对较低时,这可能会适得其反。此外,对于采用NPR的好处,我们发现当新产品质量低或消费者认知度高时,经销商平台获得更多,而市场平台从高质量的新产品和低消费者认知度中获得更多。虽然通过几个扩展显示了健壮性,但这些发现表明电子商务平台应该谨慎地实现NPR。
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引用次数: 0
Branch-and-Repair for the Stochastic 3D Bin Selection Problem: A Multi-stage Stochastic Programming Application 支修问题在三维随机箱选择中的多阶段随机规划应用
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2026-01-24 DOI: 10.1016/j.ejor.2026.01.035
Pirmin Fontaine
Increasing e-commerce has been one of the major trends in the last decades. One of the key elements is the packing of items where the company has to decide which parcel type to choose for packing all items of an order. To reduce the unused space in parcels, the essential part is the available parcel type portfolio. Since order demand is uncertain, it is important to account for this uncertainty in the strategic decision process. Therefore, we address the strategic design of the parcel type portfolio under stochastic demand and introduce the stochastic three-dimensional bin selection problem (S3D-BSP).
增加电子商务是过去几十年的主要趋势之一。其中一个关键要素是物品的包装,公司必须决定选择哪种包裹类型来包装订单的所有物品。为了减少包裹中未使用的空间,最重要的部分是可用的包裹类型组合。由于订单需求是不确定的,在战略决策过程中考虑这种不确定性是很重要的。因此,我们研究了随机需求下包裹型投资组合的策略设计,并引入了随机三维仓选择问题(S3D-BSP)。
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引用次数: 0
Coordinating Road Recovery and Supply Distribution in Emergency Services: A Distributionally Robust Optimisation Approach 应急服务中协调道路恢复和供应分配:一种分布鲁棒优化方法
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2026-01-23 DOI: 10.1016/j.ejor.2026.01.031
Qinyang Bai, Chenhao Zhou, Xuan Ren, Zhen Yang, Zhili Zhou
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引用次数: 0
Improving the efficiency of Logic-based Benders Decomposition for p-batch scheduling problems with two-dimensional packing 提高二维包装p批调度问题中基于逻辑的Benders分解的效率
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2026-01-23 DOI: 10.1016/j.ejor.2026.01.034
Paulo Jorge Nascimento, Cristóvão Silva, Carlos Henggeler Antunes, Christos T. Maravelias, Samuel Moniz
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引用次数: 0
An Exact Method for Storage Space Assignment at Airport Cargo Terminal: A Temporal-spatial Packing Problem 机场货运站仓储空间分配的精确方法:一个时空包装问题
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2026-01-23 DOI: 10.1016/j.ejor.2026.01.033
Mengxue Yuan, Chenhao Zhou, Nuno Antunes Ribeiro, Xiaorong Ren, Li Xue, Yue Teng
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引用次数: 0
Two-index formulations for the traveling purchaser problem with incompatibility constraints 具有不相容约束的旅行购买者问题的双指标公式
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2026-01-22 DOI: 10.1016/j.ejor.2026.01.018
Raquel Bernardino, Daniel Santos
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引用次数: 0
Modeling Consumer Ratings: The Trade-Off Between Quality and Consumer Preference 消费者评级建模:质量与消费者偏好之间的权衡
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2026-01-22 DOI: 10.1016/j.ejor.2026.01.001
Stephen L. France, Sanjoy Ghose, Soyab Karki
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引用次数: 0
Optimisation of Bus Timetables: An Adaptive Large Neighbourhood Search-based Matheuristic with a Novel Operator Weight 公交时刻表优化:一种具有新算子权的自适应大邻域搜索数学方法
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2026-01-21 DOI: 10.1016/j.ejor.2026.01.032
Robin Gaborit, Evelien van der Hurk, Otto Anker Nielsen, Yu Jiang
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引用次数: 0
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European Journal of Operational Research
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