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Optimizing election logistics: A multi-period routing problem embedding time-dependent reward functions 优化选举物流:嵌入时变奖励函数的多周期路由问题
IF 7.2 2区 管理学 Q1 MANAGEMENT Pub Date : 2025-09-19 DOI: 10.1016/j.omega.2025.103428
Renata Mansini , Lorenzo Moreschini , Mesut Sayin
With the 2024 US Presidential Election now concluded, the growing complexity of designing effective election campaigns has become clearer. Motivated by the logistical challenges associated with US election campaigns, we introduce the Reward-driven Multi-period Politician Routing Problem. It involves diverse politicians planning their campaigns over multiple days, considering constraints such as clustered locations, time- and location-dependent rewards, budget limits, mandatory rest days, and flexible daily routes that can be either open or closed, with starting and ending locations not known in advance.
We model the problem as a mixed-integer linear program, complemented with several valid inequalities, and innovate by designing new subtour elimination techniques that jointly deal with open and closed paths. We developed 36 new benchmark instances tailored to the US presidential elections. To tackle large-sized instances, we develop a Sequential Route Construction Matheuristic that exploits the multi-period structure of the problem to provide efficient and effective solutions. We incorporate time-dependent reward profiles (concave, convex, linearly decreasing, linearly increasing, and periodic) into the objective function to capture diverse decision-making perspectives. Experimental results show interesting computational issues on the different tested models and the impact of the chosen reward profile on their performance.
随着2024年美国总统大选的结束,设计有效的竞选活动变得越来越复杂。受与美国选举活动相关的后勤挑战的启发,我们引入了奖励驱动的多时期政治家路线问题。它涉及到不同的政治家在多天内规划他们的竞选活动,考虑到诸如集群地点、时间和地点相关的奖励、预算限制、强制性休息日、灵活的每日路线(可以开放或关闭,开始和结束地点事先未知)等限制。我们将该问题建模为一个混合整数线性规划,辅以几个有效不等式,并通过设计新的子回路消除技术来创新,该技术共同处理开放和封闭路径。我们针对美国总统选举开发了36个新的基准测试实例。为了解决大规模的实例,我们开发了一种顺序路径构建数学,利用问题的多周期结构来提供高效的解决方案。我们将与时间相关的奖励曲线(凹、凸、线性减少、线性增加和周期性)纳入目标函数,以捕捉不同的决策视角。实验结果显示了不同测试模型的有趣计算问题以及所选择的奖励模式对其性能的影响。
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引用次数: 0
Content moderation and creator incentives mechanism amidst controversial content surges 争议内容激增中的内容审核与创作者激励机制
IF 7.2 2区 管理学 Q1 MANAGEMENT Pub Date : 2025-09-17 DOI: 10.1016/j.omega.2025.103427
Ruixiao Dong , Xu Guan , Xiaohua Han , Yuan Jiang
The content platforms usually offer monetary rewards to creators to encourage the creation of high-quality content to attract views. This would motivate some creators to incorporate controversial content to generate engagement, which causes the platform’s reputation cost. Therefore, in practice, the platform actively conducts content moderation through various methods. In this paper, we consider two content moderation formats, Pre-Moderation format and Post-Moderation format, depending on whether the moderation takes place before or after the content’s publication. Under Pre-Moderation format, the platform reviews each content before it is released, which makes it less likely to suffer from a high reputation cost. However, the drawback is the potential for mistakenly blocking of high quality content. The platform has the incentive to reward creators to exert effort to attract views only when the platform’s payoff from each view of high-quality content is relatively high. Moreover, a more rigor moderation mechanism may not necessarily benefit the platform and hurt the low-type creators, and a high proportion of controversial-content fans may also not necessarily benefit the low-type creators. Conversely, Post-Moderation format proves more creator-friendly, as it enables each content published without check, though this comes at the expense of a higher reputation cost. Compared to Pre-Moderation format, the platform becomes more likely to provide monetary reward under Post-Moderation format only when the proportion of controversial-content fans is low. The platform’s profit and the creators’ profits can be higher under either moderation format, depending on the monetary reward strategy and the dissemination of low-quality content.
内容平台通常会向创作者提供金钱奖励,以鼓励他们创作高质量的内容来吸引浏览量。这将促使一些创作者加入有争议的内容来提高参与度,从而导致平台的声誉成本。因此,在实践中,平台通过多种方式积极进行内容审核。在本文中,我们考虑了两种内容审核格式,即Pre-Moderation格式和Post-Moderation格式,这取决于审核是发生在内容发布之前还是之后。在Pre-Moderation模式下,平台会在内容发布前对其进行审核,这样就不太可能遭受高声誉成本的影响。然而,缺点是可能会错误地阻止高质量的内容。只有当高质量内容的每次观看给平台带来的收益相对较高时,平台才有动力奖励创作者努力吸引观看。此外,更严格的审核机制不一定有利于平台而伤害低类型创作者,高比例的争议内容粉丝也不一定有利于低类型创作者。相反,Post-Moderation格式证明对创作者更友好,因为它允许发布的内容无需检查,尽管这是以更高的声誉成本为代价的。与Pre-Moderation相比,Post-Moderation只有在争议内容粉丝比例较低的情况下,平台才更有可能提供金钱奖励。在任何一种适度模式下,平台的利润和创作者的利润都可能更高,这取决于金钱奖励策略和低质量内容的传播。
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引用次数: 0
Distributionally robust multi-period operating room scheduling with multiple surgical disciplines under uncertain surgery durations 不确定手术时间下多手术学科的分布式鲁棒多期手术室调度
IF 7.2 2区 管理学 Q1 MANAGEMENT Pub Date : 2025-09-17 DOI: 10.1016/j.omega.2025.103420
Xiaoyu Xu , Yunqiang Yin , Dujuan Wang , T.C.E. Cheng , Xiutian Sima
We study operating room (OR) scheduling with multiple surgical disciplines under uncertain surgery durations, considering time-dependent health urgency, where patient health deteriorates with the waiting time. The problem involves the opening of ORs, assignment of ORs to surgical disciplines, and assignment of surgeries (mandatory and optional surgeries) to ORs over a planning horizon, subject to the discipline-to-OR, discipline parallelism, discipline workload, and surgery deadline restrictions, and OR session capacity chance constraints. To characterize the uncertainty of surgery durations, we introduce a data-driven distributionally ambiguity set based on real surgery data, which incorporates the empirical mean and covariance. We formulate the problem as a distributionally robust chance-constrained model, where distributionally robust chance constraints are imposed on the OR session capacity. To solve the model, we transform it into a tractable mixed-integer linear program, and propose a tailored branch-and-price-and-cut algorithm based on a bounded bidirectional dynamic programming algorithm for the pricing subproblems. We use the limited-node-memory subset row inequalities to enhance the lower bounds found by column generation and apply two enhancement techniques to enhance computing efficiency. We conduct extensive numerical studies on instances generated from real surgery data. The results illustrate the computational superiority of our algorithm to the CPLEX solver, and highlight the benefits of our model over its stochastic programming counterpart and two heuristic scheduling rules. We also perform sensitivity analysis to generate managerial insights from the analytical findings.
在手术时间不确定的情况下,考虑患者健康随等待时间延长而恶化的时间依赖性健康急迫性,研究了多外科学科手术室(OR)的调度问题。问题涉及开放手术室,将手术室分配到外科学科,以及在计划范围内将手术(强制性和可选性手术)分配到手术室,这要受到学科到手术室、学科并行性、学科工作量、手术截止日期限制以及手术室会话容量机会限制的制约。为了描述手术持续时间的不确定性,我们引入了一个基于实际手术数据的数据驱动的分布模糊集,它结合了经验均值和协方差。我们将该问题表述为一个分布鲁棒机会约束模型,其中分布鲁棒机会约束施加于OR会话容量上。为了求解该模型,我们将其转化为可处理的混合整数线性规划,并针对定价子问题提出了基于有界双向动态规划算法的定制分支-价格-切割算法。我们使用有限节点内存子集行不等式来增强列生成的下界,并应用两种增强技术来提高计算效率。我们对实际手术数据生成的实例进行了广泛的数值研究。结果表明我们的算法在计算上优于CPLEX求解器,并突出了我们的模型相对于随机规划和两种启发式调度规则的优势。我们还进行敏感性分析,以从分析结果中产生管理见解。
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引用次数: 0
Markov Decision Process for Mixed-Model Assembly Line design under process time uncertainty 工艺时间不确定下混合装配线设计的马尔可夫决策过程
IF 7.2 2区 管理学 Q1 MANAGEMENT Pub Date : 2025-09-13 DOI: 10.1016/j.omega.2025.103425
Milad Elyasi , Simon Thevenin , Audrey Cerqueus , Alexandre Dolgui
The industry is increasingly confronted with the challenge of process duration uncertainty in production systems. These variations are particularly problematic for manufacturers that utilize Multi-Manned Mixed-Model Assembly Lines, as they can cause significant disruptions that may stop the production line. Our study explores the benefit of walking workers to dynamically adjust the workforce in response to unexpected variations in process durations at different stations, a common scenario in the automotive industry. We model the dynamic workforce assignment decision as a Markov Decision Process (MDP), and this MDP accounts for uncertainties in process times, and it incorporates dynamic task assignment and workers’ movements. This MDP is subsequently translated into a linear program that we integrate into a higher-level Mixed-Integer Linear Programming model responsible for dimensioning the workforce and selecting equipment in the station. This approach results in the creation of assembly lines designed to be resilient in the face of unexpected variations in task process durations. To deal with scalability issues, we employ the Benders decomposition algorithm. The paper also presents a validation with data from a car manufacturer that reinforces the practical applicability of our methodology. Additionally, we provide managerial insights on effectively managing process time uncertainty in automotive production systems, empowering decision-makers with optimization strategies, cost-reduction approaches, and resilience-building techniques to enhance the performance and reliability of Mixed-Model Assembly Lines.
工业日益面临生产系统过程持续时间不确定性的挑战。这些变化对于使用多人混合模型装配线的制造商来说尤其成问题,因为它们可能导致严重的中断,可能会停止生产线。我们的研究探讨了步行工人动态调整劳动力的好处,以应对不同工位过程持续时间的意外变化,这是汽车行业的常见情况。我们将动态劳动力分配决策建模为马尔可夫决策过程(MDP),该MDP考虑了过程时间的不确定性,并结合了动态任务分配和工人运动。这个MDP随后被转换成一个线性程序,我们将其集成到一个高级混合整数线性规划模型中,该模型负责为工作站的劳动力制定尺寸并选择设备。这种方法导致创建的装配线在面对任务过程持续时间的意外变化时具有弹性。为了处理可伸缩性问题,我们采用了Benders分解算法。本文还用一家汽车制造商的数据进行了验证,以加强我们的方法的实际适用性。此外,我们提供有效管理汽车生产系统过程时间不确定性的管理见解,为决策者提供优化策略,降低成本的方法和弹性建设技术,以提高混合模型装配线的性能和可靠性。
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引用次数: 0
A bilevel approach to integrated surgeon scheduling and surgery planning solved via branch-and-price 一种基于分支和价格的双层外科医生调度和手术计划集成方法
IF 7.2 2区 管理学 Q1 MANAGEMENT Pub Date : 2025-09-12 DOI: 10.1016/j.omega.2025.103424
Broos Maenhout , Přemysl Šůcha , Viktorie Valdmanova , Ondřej Tkadlec , Jana Thao Rozlivkova
In this paper, we study a multi-agent scheduling problem for organising the operations within the operating room department. The head of the surgeon group and individual surgeons are together responsible for the surgeon schedule and surgical case planning. The surgeon head allocates time blocks to individual surgeons, whereas individual surgeons determine the planning of surgical cases independently, which might degrade the schedule quality envisaged by the surgeon head. The bilevel optimisation under study seeks an optimal Nash equilibrium solution – a surgeon schedule and surgical case plan that optimise the objectives of the surgeon head, while ensuring that no individual surgeon can improve their own objective within the allocated time blocks. We propose a dedicated branch-and-price that adds lazy constraints to the formulation of surgeon-specific pricing problems to ensure an optimal bilevel feasible solution is retrieved. In this way, the surgeon head respects the objective requirements of the individual surgeons and the solution space can be searched efficiently. In the computational experiments, we validate the performance of the proposed algorithm and its dedicated components and provide insights into the benefits of attaining an equilibrium solution under different scenarios by calculating the price of stability and the price of decentralisation.
本文研究了一个多智能体组织手术室手术室作业的调度问题。手术组组长和个体外科医生共同负责手术时间表和手术病例计划。外科主任将时间块分配给单个外科医生,而单个外科医生独立决定手术病例的计划,这可能会降低外科主任设想的时间表质量。研究中的双层优化寻求最优纳什均衡解决方案-外科医生时间表和手术病例计划,以优化外科医生负责人的目标,同时确保每个外科医生都不能在分配的时间块内提高自己的目标。我们提出了一个专门的分支和价格,在特定外科医生定价问题的公式中添加惰性约束,以确保检索到最优的双层可行解决方案。这样,术者头部就尊重了术者个体的客观要求,并能有效地搜索到解空间。在计算实验中,我们验证了所提出的算法及其专用组件的性能,并通过计算稳定的价格和去中心化的价格,提供了在不同情况下获得均衡解决方案的好处。
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引用次数: 0
Reveal the new function of crowdfunding: Production risk transfer mechanism 揭示众筹的新功能:生产风险转移机制
IF 7.2 2区 管理学 Q1 MANAGEMENT Pub Date : 2025-09-11 DOI: 10.1016/j.omega.2025.103408
Yang Xu , Yu Zhang , Jiancheng Lyu
Existing literature has underscored the financing advantages intrinsic to crowdfunding, often overlooking its pivotal risk transfer function. By factoring in elements of loss aversion, our study formulates a comprehensive crowdfunding model to discern disparities between the crowdfunding and traditional financing model in mitigating the production risk. In the traditional financing model, the entrepreneur navigates a strategic trade-off between the financing cost and production risk by judiciously allocating the asset–liability portfolio between personal funds and loan capital. Conversely, the crowdfunding model entails the entrepreneur pre-selling the products, thereby positioning buyers as the bearer of risk. Our results indicate that crowdfunding does not universally emerge as the dominant strategy. When the production cost is high and product value is low, the entrepreneur is advised to leverage crowdfunding to curtail financing expenses and mitigate demand uncertainty. This, however, entails transferring the production risk to buyers, necessitating the entrepreneur to set a more modest product price. When the production cost is low or the product value is high, the traditional financing model outshines crowdfunding. Introducing crowdfunding will trigger a precipitous decline in buyers’ willingness to pay and an unwarranted erosion of marginal returns. This elucidates why products unveiled on crowdfunding platforms frequently exhibit a lack of substantial value. Additionally, we introduce the deferred payment mechanism to augment crowdfunding efficacy and unveil its role in risk sharing. We also analyze in detail how the optimal prepayment ratio is affected by capital constraints, product attributes, risks, and market size. Finally, we explore five intriguing extensions: heterogeneous buyer valuations, the market size follows uniform distribution, hybrid financing, quality endogeneity, and partial consumers in crowdfunding market, yielding valuable insights.
现有文献强调了众筹固有的融资优势,往往忽视了其关键的风险转移功能。通过考虑损失规避因素,我们构建了一个综合的众筹模型,以区分众筹与传统融资模式在降低生产风险方面的差异。在传统的融资模式中,企业家通过在个人资金和贷款资金之间合理分配资产负债组合,在融资成本和生产风险之间进行战略权衡。相反,众筹模式需要企业家预售产品,从而将买家定位为风险的承担者。我们的研究结果表明,众筹并没有普遍成为主导策略。在生产成本较高、产品价值较低的情况下,建议创业者利用众筹来减少融资费用,降低需求的不确定性。然而,这需要将生产风险转移给买家,迫使企业家设定更适度的产品价格。当生产成本较低或产品价值较高时,传统的融资模式比众筹更有优势。引入众筹会导致买家的支付意愿急剧下降,边际收益也会受到毫无根据的侵蚀。这就解释了为什么在众筹平台上发布的产品往往缺乏实质性的价值。此外,我们引入了延期支付机制,以提高众筹效率,并揭示了其在风险分担中的作用。我们还详细分析了资本约束、产品属性、风险和市场规模对最优提前还款率的影响。最后,我们探讨了五个有趣的扩展:异质买家估值、市场规模遵循均匀分布、混合融资、质量内生性和众筹市场的部分消费者,得出了有价值的见解。
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引用次数: 0
Online coupon and offline service efforts in omnichannel retailing with cross-channel effect 线上优惠券和线下服务在全渠道零售中发挥跨渠道效应
IF 7.2 2区 管理学 Q1 MANAGEMENT Pub Date : 2025-09-10 DOI: 10.1016/j.omega.2025.103423
Kebing Chen , Qinyi Zhang , Shengbin Wang
This paper develops three channel models consisting of an online retailer and an offline counterpart, including the multichannel model, the buy-online pick-up in-store (BOPS) model, and the buy-online return in-store (BORS) model. First, we examine the impacts of online return rate and consumers’ return cost on the performance and optimal strategies of the retailers for each channel model. Then, we explore the conditions for the online retailer to adopt the omnichannel strategy (i.e., BOPS, BORS) and evaluate the resulting impact on the offline retailer’s profit. Next, we conduct the comparative analysis on the optimal decisions and performance of both online and offline retailers pre- and post-implementation of BOPS/BORS. Moreover, we also explore the scenario where the offline retailer offers coupons and consumers exhibit free-riding behavior. Our findings reveal that the choice between adopting BOPS or BORS depends on the return rate and return processing cost. Under the same external conditions (i.e., return rate, consumers’ return cost), a low return processing cost can prompt a stronger inclination toward BORS for the online retailer, whereas a higher cost push him to choose BOPS. After the implementation of omnichannel, the offline retailer’s profit from initial products is reduced, but the cross-selling opportunities are increased. Through the robustness analysis of the model, the motivation for adopting an omnichannel strategy remains largely unchanged when the offline retailer also offers coupons, although the threshold values are changed. Furthermore, the omnichannel motivation is influenced by the prevalence of free-riding behavior when such behaviors are taken into account.
本文建立了由在线零售商和线下零售商组成的三种渠道模型,包括多渠道模型、在线购买到店提货(BOPS)模型和在线购买回店(BORS)模型。首先,我们考察了在线退货率和消费者退货成本对各渠道零售商绩效和最优策略的影响。然后,我们探讨了在线零售商采用全渠道战略(即BOPS, BORS)的条件,并评估了由此对线下零售商利润的影响。接下来,我们对实施BOPS/BORS前后线上和线下零售商的最优决策和绩效进行了对比分析。此外,我们还探讨了线下零售商提供优惠券和消费者表现出搭便车行为的场景。我们的研究结果显示,选择采用BOPS或BORS取决于退货率和退货处理成本。在相同的外部条件下(即退货率、消费者退货成本),较低的退货处理成本会促使在线零售商更倾向于BOPS,而较高的成本则会促使在线零售商选择BOPS。实施全渠道后,线下零售商的初始产品利润减少,但交叉销售机会增加。通过对模型的鲁棒性分析,当线下零售商同时提供优惠券时,采用全渠道策略的动机基本没有变化,尽管阈值发生了变化。此外,考虑到搭便车行为的普遍存在,全渠道动机也会受到影响。
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引用次数: 0
Outliers and rewards in regulation: Insights from German electricity benchmarking 监管中的异常值和回报:来自德国电力基准的见解
IF 7.2 2区 管理学 Q1 MANAGEMENT Pub Date : 2025-09-09 DOI: 10.1016/j.omega.2025.103426
Mohsen Afsharian , Peter Bogetoft
Benchmarking is a key tool in regulatory frameworks for assessing the efficiency of network industries. In this context, identifying outliers is crucial, as their presence can significantly distort benchmarking outcomes and the resulting firm incentives. This paper focuses on two types of performance-related outliers: influential units – firms that define the frontier and significantly affect the efficiency scores of others, and atypical units – firms that have unusual input–output profiles but little or no influence on the rest of the sample. Using the German electricity sector as a case study, we examine the methodology of the Bundesnetzagentur (BNetzA), a pioneer in regulatory benchmarking. We show that its reliance on standard dominance and super-efficiency analysis fails to distinguish between these two types, which may result in misaligned incentives. To address this gap, we propose two methodological refinements – a revised dominance measure and a radius-based super-efficiency approach – embedded in a transparent procedure tailored to regulatory benchmarking. The proposed approach is designed to support a more consistent and targeted application of performance-based rewards, while remaining fully compatible with existing regulatory procedures.
标杆管理是监管框架中评估网络行业效率的关键工具。在这种情况下,识别异常值至关重要,因为它们的存在会严重扭曲基准测试结果和由此产生的企业激励。本文关注的是两类与绩效相关的异常值:有影响力的单位——定义了边界并显著影响其他单位效率得分的企业;非典型单位——具有不同寻常的投入产出概况,但对样本的其余部分影响很小或没有影响的企业。以德国电力部门为例,我们研究了监管基准的先驱——德国联邦网络局(BNetzA)的方法。我们发现,它对标准优势和超效率分析的依赖未能区分这两种类型,这可能导致不一致的激励。为了解决这一差距,我们提出了两种方法改进-一种修订的优势度量和一种基于半径的超效率方法-嵌入到一个针对监管基准的透明程序中。拟议的方法旨在支持更加一致和有针对性的基于绩效的奖励应用,同时完全符合现有的监管程序。
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引用次数: 0
A trailer-detention-constrained multi-trailer drop-and-pull container drayage problem with flexible service starting time and time windows 具有灵活服务启动时间和时间窗口的多拖车拖运集装箱拖运问题
IF 7.2 2区 管理学 Q1 MANAGEMENT Pub Date : 2025-09-04 DOI: 10.1016/j.omega.2025.103422
Decheng Wang , Zhihui Fan , Yarong Liu , Ilkyeong Moon
Trailer detention at delivery locations, frequently caused by the time-consuming (un)packing process, presents a significant challenge in container drayage. Despite extensive research on container drayage, the specific issues stemming from trailer detention remain relatively underexplored. This study addresses a trailer-detention-constrained multi-trailer drop-and-pull container drayage problem, incorporating flexible service starting times and time windows. The detained trailers differ from standard trailers as they require only a single pickup operation within the planning horizon, rather than the typical two-step delivery and subsequent pickup. These pickup operations must be completed within specified time windows due to their potential to disrupt logistics efficiency and often require time-sensitive handling. Furthermore, time windows are imposed on normal trailer deliveries, as these operations initiate the (un)packing process, which can impact the operational efficiency of customer activities. The problem involves tractors capable of towing multiple trailers, utilizing the drop-and-pull method for detachment and reattachment. Tractors possess the flexibility to select their service starting times. To address the inherent complexity of this problem, a mixed-integer programming model is developed alongside a tailored heuristic algorithm. The algorithm leverages a modified Clarke-and-Wright algorithm to generate both rapid and high-quality initial solutions. It strategically integrates the mathematical model, ensuring solution quality is maintained without compromising computational efficiency. To further enhance solution efficiency, a route-based release-fix-optimize method is implemented. Extensive computational experiments validate the efficacy of the proposed methods and examine the impact of time windows and detained inbound and outbound requests on transportation plans, offering valuable insights for effectively managing logistics systems.
拖车滞留在交货地点,往往是由耗时(非)包装过程造成的,这对集装箱运输提出了重大挑战。尽管对集装箱拖曳进行了广泛的研究,但拖车滞留的具体问题仍未得到充分探讨。本研究解决了拖车滞留受限的多拖车装卸集装箱拖运问题,结合了灵活的服务启动时间和时间窗口。被扣留的拖车与标准拖车不同,因为它们只需要在计划范围内进行一次取货操作,而不是典型的两步交付和随后的取货。这些取货操作必须在规定的时间内完成,因为它们可能会破坏物流效率,并且通常需要对时间敏感的处理。此外,正常的拖车运输需要时间窗口,因为这些操作会启动(非)包装过程,这会影响客户活动的运营效率。该问题涉及能够牵引多个拖车的拖拉机,利用拉放方法分离和重新附着。拖拉机具有灵活选择其服务启动时间的能力。为了解决这个问题固有的复杂性,我们开发了一个混合整数规划模型和一个定制的启发式算法。该算法利用改进的clark - wright算法生成快速且高质量的初始解。它战略性地集成了数学模型,确保在不影响计算效率的情况下保持解决方案的质量。为了进一步提高求解效率,实现了基于路径的释放-修复-优化方法。大量的计算实验验证了所提出方法的有效性,并检查了时间窗口和滞留的入境和出境请求对运输计划的影响,为有效管理物流系统提供了有价值的见解。
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引用次数: 0
Trendsetting in conspicuous consumption: The impact of a resale market 炫耀性消费的潮流引领:转售市场的影响
IF 7.2 2区 管理学 Q1 MANAGEMENT Pub Date : 2025-09-03 DOI: 10.1016/j.omega.2025.103418
Kemeng Liu , Gang Li
Social influence, such as snobbish and conformity effects, is believed to play a fundamental role in conspicuous consumption. The rapidly growing market for second-hand luxury products, particularly in the form of consumer-to-consumer (C2C) resale, presents a new opportunity for the conspicuous goods industry. To evaluate the impact of the C2C resale market on conspicuous consumption, we develop a monopoly model over two usage periods, where two types of conspicuous consumers can trade used products on the resale market. We first examine the implications of social influence on conspicuous goods, providing insights into how such products are priced. Then the impact of the C2C resale market on luxury market performance is explored. Interestingly, we find that it prompts different strategic behaviors among snobs and conformists, generating the “trendsetting-following effect.” Furthermore, social externalities within the conspicuous framework amplify the value enhancement effect and mitigate the cannibalization effect of secondary markets on the retailer, ultimately driving market expansion and boosting the retailer’s profit. Although the presence of a secondary market lowers the retail price in the primary market, it increases the retailer’s profit under certain conditions, while it always boosts consumer surplus and social welfare, resulting in a win-win-win situation for consumers, the retailer, and society.
社会影响,如势利和从众效应,被认为在炫耀性消费中起着根本作用。快速增长的二手奢侈品市场,特别是消费者对消费者(C2C)转售形式,为炫耀性商品行业带来了新的机遇。为了评估C2C转售市场对炫耀性消费的影响,我们建立了一个两个使用周期的垄断模型,其中两种类型的炫耀性消费者可以在转售市场上交易二手产品。我们首先研究了社会影响对炫耀性商品的影响,提供了这些产品如何定价的见解。然后探讨C2C转售市场对奢侈品市场表现的影响。有趣的是,我们发现它在势利者和墨守成规者之间促进了不同的战略行为,产生了“跟风效应”。此外,显著性框架内的社会外部性放大了价值提升效应,减轻了二级市场对零售商的蚕食效应,最终推动了市场扩张,提高了零售商的利润。二级市场的存在虽然降低了一级市场的零售价格,但在一定条件下增加了零售商的利润,同时也增加了消费者剩余和社会福利,最终达到消费者、零售商和社会的三赢局面。
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引用次数: 0
期刊
Omega-international Journal of Management Science
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