Omega-international Journal of Management Science最新文献_第7页

Electric bus battery swapping and charging management across multiple depots 电动客车电池交换和充电管理跨多个仓库

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-10-01 DOI: 10.1016/j.omega.2025.103434

Siyuan Yang , Kun An , Jeppe Rich

As cities accelerate public transit decarbonization, battery swapping has emerged as a viable alternative to conventional plug-in charging, offering rapid energy replenishment and reduced service disruption for high-frequency electric bus operations. However, this approach requires an inventory of standby batteries, driving up fixed costs. In addition, optimizing battery charging schedules becomes critical to controlling operational expenses under time-varying electricity pricing. This study proposes a comprehensive optimization framework that jointly determines the number of standby batteries, charging schedules, fleet size, and bus schedules across multiple depots and routes. To solve the model efficiently, a Lagrangian-Trip Chain Selection (LTCS) method is developed. The algorithm is validated using empirical data from a real-world bus network in Jiading District, Shanghai, China. The results demonstrate that the proposed method consistently outperforms alternative approaches, particularly in large-scale instances, delivering high-quality, near-optimal solutions within practical computation times. Specifically, the findings reveal that: i) From an economic standpoint, a battery capacity of 280 kWh is the optimal choice for battery swapping in the studied case; ii) A standby battery inventory equal to 60% of the fleet size—just over half the total vehicles—is sufficient to meet operational requirements.

随着城市加速公共交通的脱碳，电池交换已经成为传统插电式充电的可行替代方案，为高频电动公交车运营提供快速的能量补充和减少服务中断。然而，这种方法需要备用电池的库存，从而推高了固定成本。此外，优化电池充电计划对于控制时变电价下的运行费用至关重要。本研究提出了一个综合优化框架，共同确定备用电池数量、充电计划、车队规模和跨多个车站和路线的公交计划。为了有效地求解该模型，提出了拉格朗日-行程链选择方法。该算法使用中国上海嘉定区实际公交网络的经验数据进行了验证。结果表明，所提出的方法始终优于其他方法，特别是在大规模实例中，在实际计算时间内提供高质量，接近最优的解决方案。具体而言，研究结果表明：i)从经济角度来看，研究案例中电池容量为280 kWh是电池换电的最佳选择；ii)备用电池库存相当于车队规模的60%——略高于车辆总数的一半——足以满足运营需求。

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引用次数: 0

Water losses: A productivity analysis of the water supply in Portugal 水的损失：葡萄牙供水的生产力分析

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-09-30 DOI: 10.1016/j.omega.2025.103431

P. Ravelojaona , A. Abad , P.N. Alves Junior , F.S. Pinto , I. Costa-Melo

Environmental concerns have increasingly influenced production processes, particularly in recent years, as natural resources become progressively scarce. Among these, water remains the most critical resource, further exacerbated by climate change and its associated challenges, such as frequent droughts, especially in warm and mild-climate regions like Southern Europe. This study analyzes the performance of the Portuguese water supply sector, focusing on a sample of 116 water utilities between 2013 and 2021, representing diverse geographic and management structures. The production process is conceptualized as a non-linear joint-production process, incorporating water losses as an undesirable output within performance evaluations. By applying exponential Hicks-Moorsteen and Malmquist indices within a non-parametric Data Envelopment Analysis framework, this study provides an assessment of the efficiency and productivity trends in the sector. The findings offer insights into how Portuguese water utilities manage resources under environmental and infrastructural constraints, with a focus on reducing water losses and enhancing sustainable practices.

环境问题日益影响到生产过程，特别是近年来，因为自然资源日益稀少。其中，水仍然是最关键的资源，气候变化及其相关挑战（如频繁干旱）进一步加剧了这一问题，尤其是在南欧等温暖和温和气候地区。本研究分析了葡萄牙供水部门的表现，重点关注2013年至2021年间116家水务公司的样本，代表了不同的地理和管理结构。生产过程被定义为一个非线性联合生产过程，将失水作为不希望的产出纳入绩效评估。通过在非参数数据包络分析框架内应用指数Hicks-Moorsteen和Malmquist指数，本研究提供了该部门效率和生产力趋势的评估。调查结果为葡萄牙水务公司如何在环境和基础设施限制下管理资源提供了见解，重点是减少水损失和加强可持续实践。

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引用次数: 0

Is it all about the stars? Spending on star players and success in the National Football League 都是关于星星的吗？在明星球员身上花钱，在国家橄榄球联盟中取得成功

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-09-30 DOI: 10.1016/j.omega.2025.103433

Nicky Rogge, Paul Rowley

The National Football League (NFL) introduced a salary cap in 1994 which significantly affected the payroll efficiency of teams within the league. This paper uses a robust directional distance Data Envelopment Analysis (DEA) model to measure and evaluate the payroll efficiency of the 32 teams of the NFL from 2011–2020. The focus is on investigating if teams are more payroll efficient when spending on star players or spreading their expenditure more equally across their squad. Four DEA-models were defined to analyse spending payroll efficiency relating to the overall allocation of salary, star offensive players, star defensive players, and starting quarterbacks. Inputs were relevant salary cap information, while outputs were performance statistics unique to each category. A relationship was discovered between payroll efficiency in each category and qualification for the playoffs and post-season success. Efficient expenditure on star defensive players was especially important.

美国国家橄榄球联盟（NFL）在1994年引入了工资上限，这极大地影响了联盟内球队的工资效率。本文采用稳健的方向距离数据包络分析（DEA）模型对NFL 32支球队2011-2020年的工资效率进行了测量和评估。研究的重点是调查球队在花钱买明星球员时是否更有效率，或者在球队中更平均地分配开支。定义了四个dea模型来分析与工资、明星进攻球员、明星防守球员和首发四分卫的总体分配相关的支出工资效率。投入是有关工资帽的资料，而产出是每个职类特有的业绩统计数字。每个类别的工资效率与季后赛资格和季后赛成功之间存在关系。在明星防守球员身上的有效投入尤为重要。

引用次数: 0

Order selection and fulfillment integration with flexible products 订单选择和实现与柔性产品的集成

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-09-27 DOI: 10.1016/j.omega.2025.103429

Miao Wang , Feng Li , Zhou Xu , Xianyan Yang , Julong Wang

This study addresses an integrated order selection and fulfillment problem in a multi-resource, multi-product, multi-warehouse system. The focus is to determine which orders to serve and which warehouse(s) to utilize to fulfill each accepted order such that the total profit is maximized. To utilize resources more effectively and improve customer satisfaction by providing customers with more options, the products offered by the firm include both specific and flexible products, with the latter representing a set of alternative specific products. Upon acceptance, each flexible product order is allocated an option within its alternative set. The firm’s profit is calculated by subtracting the total transportation and inventory holding costs from the revenue generated by accepted orders. We propose an exact algorithm that achieves a pseudo-polynomial running time in some practical situations. In addition, a column generation-based heuristic algorithm is introduced to efficiently find near-optimal solutions. The computational results demonstrate the effectiveness of this heuristic algorithm, which not only outperforms a commercial optimization solver in terms of computational times but also exhibits the ability to generate near-optimal solutions. Furthermore, we conduct additional experiments to evaluate the effects of varying order quantities and replenishment settings on the performance of the heuristic algorithm, thereby demonstrating its robustness. Additionally, our experiments illustrate the benefits of offering flexible products and evaluate the value of production–transportation integration by comparing the integrated approach with a conventional sequential approach that addresses assembly and transportation independently.

本文研究了一个多资源、多产品、多仓库系统中的订单选择与履行问题。重点是确定为哪些订单提供服务，以及使用哪个仓库来完成每个接受的订单，从而使总利润最大化。为了更有效地利用资源，提高顾客满意度，为顾客提供更多的选择，企业提供的产品包括特定产品和柔性产品，柔性产品代表一组可选择的特定产品。在接受后，每个柔性产品订单在其备选项集中分配一个选项。公司的利润是通过从接受订单产生的收入中减去总运输和库存持有成本来计算的。我们提出了一种精确的算法，可以在一些实际情况下实现伪多项式的运行时间。此外，还引入了一种基于列生成的启发式算法来有效地寻找近最优解。计算结果证明了这种启发式算法的有效性，它不仅在计算时间方面优于商业优化求解器，而且还显示出生成接近最优解的能力。此外，我们进行了额外的实验来评估不同订单数量和补货设置对启发式算法性能的影响，从而证明了其鲁棒性。此外，我们的实验说明了提供灵活产品的好处，并通过比较集成方法与独立解决装配和运输问题的传统顺序方法来评估生产-运输集成的价值。

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引用次数: 0

Navigating uncertainty in human interaction: A management science approach using Bayesian games in therapy 在人际交往中导航不确定性：在治疗中使用贝叶斯游戏的管理科学方法

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-09-25 DOI: 10.1016/j.omega.2025.103430

A. Mehrabi, R. Rahimi M., A. Nikoofard

Therapy sessions are widely recognized as an effective form of treatment, with outcomes sometimes more strongly influenced by the quality of therapist–patient interaction and decision-making than by the specific methods employed, prompting extensive empirical investigation into these dynamics. Existing studies overlook individual differences and long-term effects, relying on generalized findings that miss the complexity of human interactions and therapeutic decision-making. To address these limitations, this study adopts a structured analytical approach that captures the nuanced, evolving nature of therapist–patient interactions and enables long-term insight into how individual behaviors and strategic decisions shape therapeutic trajectories.

Game theory, widely used to optimize and analyze multi-agent decision-making across various domains, provides a powerful framework for this study. By incorporating Nash equilibrium, Bayesian games, and repeated games, the proposed model captures the uncertainty and complexity inherent in real-world interactions. The model highlights the strategic merit of selecting non-cooperative policies under certain conditions and, through simulation analysis, demonstrates that patient behavior has a significantly greater impact on session outcomes compared to that of the therapist. Furthermore, the influence of cooperation becomes more pronounced as the planning horizon extends into the long term. Therapists who adapt their strategies to patient type and behavior can enhance outcomes, while rigidity may hinder progress. The model offers practical value in guiding effective, personalized strategy selection.

治疗会议被广泛认为是一种有效的治疗形式，其结果有时受到治疗师-患者互动和决策的质量的强烈影响，而不是所采用的具体方法，促使对这些动态进行广泛的实证研究。现有的研究忽视了个体差异和长期影响，依赖于广义的发现，而忽略了人类相互作用和治疗决策的复杂性。为了解决这些局限性，本研究采用了一种结构化的分析方法，捕捉了治疗师-患者互动的细微差别，不断发展的本质，并能够长期洞察个体行为和战略决策如何塑造治疗轨迹。博弈论被广泛用于优化和分析各个领域的多智能体决策，为本研究提供了一个强大的框架。通过整合纳什均衡、贝叶斯博弈和重复博弈，所提出的模型捕捉到了现实世界互动中固有的不确定性和复杂性。该模型突出了在特定条件下选择非合作策略的战略价值，并通过模拟分析表明，与治疗师相比，患者行为对会话结果的影响显著更大。此外，随着规划范围延伸到长期，合作的影响变得更加明显。根据患者类型和行为调整策略的治疗师可以提高结果，而僵化可能会阻碍进展。该模型对指导有效的、个性化的战略选择具有实用价值。

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引用次数: 0

Rational versus presumptive decisions in a decentralized co-production system: Solutions and applications 分散合作生产系统中的理性决策与假定决策：解决方案和应用程序

IF 7.2 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science

Pub Date : 2025-09-24 DOI: 10.1016/j.omega.2025.103412

Zhixuan Cai , Tianhu Deng , Christopher S. Tang

Recent research has examined the decentralized decisions of two independent parties when the system output is co-produced, i.e., the output depends on the efforts exerted by both parties. In this paper, we present a general modeling framework to reexamine the robustness of the results obtained from this stream of research. To model the decision-making process in a decentralized co-production system, we use the Constant Elasticity of Substitution (CES) function to model the output co-produced from the two parties and consider both simultaneous-move and sequential-move games. We also compare the equilibrium efforts exerted by rational firms and the optimal efforts exerted by presumptive firms. Here, each rational firm makes decisions by anticipating the other firm’s rational decision, whereas each presumptive firm makes decisions based on a prior belief about the other firm’s decision. We show that both simultaneous-move and sequential-move games yield similar structural results. First, the effort exerted by each rational (or presumptive) firm increases with the firm’s “returns on effort investment”. Second, while the efforts exerted by presumptive firms are not in equilibrium, we find that these off-equilibrium efforts can result in higher payoffs than the efforts exerted by rational firms when the prior beliefs are sufficiently high and effort cost factors are sufficiently low. We also apply these results to reexamine some key findings obtained in the recent literature whose co-production model can be viewed as special cases of the CES output function. We find that the existing results based on the special case may not hold under the general CES functions. Hence, our general model and results provide new insights. Finally, we demonstrate how our general model can be applied to examine other settings arising from product development and capacity planning decisions involving two independent parties with self-interests.

最近的研究考察了当系统产出是共同生产时，即产出取决于双方的努力时，两个独立的参与方的分散决策。在本文中，我们提出了一个通用的建模框架，以重新检查从这一研究流中获得的结果的鲁棒性。为了对分散合作生产系统中的决策过程进行建模，我们使用恒定替代弹性（CES）函数对双方共同生产的输出进行建模，并考虑同时移动和顺序移动博弈。我们还比较了理性企业的均衡努力和假设企业的最优努力。在这里，每个理性企业通过预测其他企业的理性决策来做出决策，而每个假定企业基于对其他企业决策的先验信念来做出决策。我们表明，同时移动和顺序移动游戏产生相似的结构结果。首先，每个理性（或假定）企业所付出的努力随着企业“努力投资回报”的增加而增加。第二，虽然假设企业的努力不是均衡的，但我们发现，当先验信念足够高而努力成本因素足够低时，这些非均衡的努力比理性企业的努力产生更高的回报。我们还应用这些结果来重新审视最近文献中获得的一些关键发现，这些文献中的合作生产模型可以被视为CES输出函数的特殊情况。我们发现，在一般的CES函数下，基于特殊情况的现有结果可能不成立。因此，我们的一般模型和结果提供了新的见解。最后，我们演示了如何将我们的一般模型应用于检查涉及两个具有自身利益的独立方的产品开发和能力规划决策所产生的其他设置。

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引用次数: 0

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

Omega-international Journal of Management Science

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

Omega-international Journal of Management Science

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

Omega-international Journal of Management Science

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

Omega-international Journal of Management Science

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