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Dynamic growth-optimal portfolio choice under risk control 风险控制下的动态增长--最优投资组合选择
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2024-11-07 DOI: 10.1016/j.ejor.2024.10.043
Pengyu Wei, Zuo Quan Xu
This paper studies a mean-risk portfolio choice problem for log-returns in a continuous-time, complete market. It is a growth-optimal portfolio choice problem under risk control. The risk of log-returns is measured by weighted Value-at-Risk (WVaR), which is a generalization of Value-at-Risk (VaR) and Expected Shortfall (ES). We characterize the optimal terminal wealth and obtain analytical expressions when risk is measured by VaR or ES. We demonstrate that using VaR increases losses while ES reduces losses during market downturns. Moreover, the efficient frontier is a concave curve that connects the minimum-risk portfolio with the growth optimal portfolio, as opposed to the vertical line when WVaR is used on terminal wealth, and thus allows for a meaningful characterization of the risk-return trade-off and aids investors in setting reasonable investment targets. We also apply our model to benchmarking and illustrate how investors with benchmarking may overperform/underperform the market depending on economic conditions.
本文研究的是连续时间完全市场中对数收益的均值风险投资组合选择问题。这是一个风险控制下的增长最优投资组合选择问题。对数收益率的风险用加权风险价值(WVaR)来衡量,它是风险价值(VaR)和预期缺口(ES)的广义化。当风险以 VaR 或 ES 度量时,我们将描述最优终端财富的特征并获得分析表达式。我们证明,在市场低迷时,使用 VaR 会增加损失,而 ES 则会减少损失。此外,有效前沿是一条连接最小风险投资组合和最优增长投资组合的凹曲线,而不是使用风险价值增值率衡量终端财富时的垂直线,因此可以对风险收益权衡进行有意义的描述,并帮助投资者设定合理的投资目标。我们还将模型应用于基准投资,并说明了具有基准投资能力的投资者如何根据经济状况跑赢/跑输市场。
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引用次数: 0
A new branch-and-cut approach for integrated planning in additive manufacturing 用于增材制造综合规划的新分支切割法
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2024-11-07 DOI: 10.1016/j.ejor.2024.10.040
Benedikt Zipfel, Felix Tamke, Leopold Kuttner
In recent years, there has been considerable interest in the transformative potential of additive manufacturing (AM) since it allows for producing highly customizable and complex components while reducing lead times and costs. The rise of AM for traditional and new business models enforces the need for efficient planning procedures for AM facilities. In this area, the assignment and sequencing of components to be built by an AM machine, also called a 3D printer, is a complex challenge combining two combinatorial problems: The first decision involves the grouping of parts into production batches, akin to the well-known bin packing problem. Subsequently, the second problem pertains to the scheduling of these batches onto the available machines, which corresponds to a parallel machine scheduling problem. For minimizing makespan, this paper proposes a new branch-and-cut algorithm for integrated planning for unrelated parallel machines. The algorithm is based on combinatorial Benders decomposition: The scheduling problem is considered in the master problem, while the feasibility of an obtained solution with respect to the packing problem is checked in the sub-problem. Current state-of-the-art techniques are extended to solve the orthogonal packing with rotation and used to speed up the solution of the sub-problem. Extensive computational tests on existing and new benchmark instances show the algorithm’s superior performance, improving the makespan by 18.7% on average, with improvements reaching up to 97.6% for large problems compared to an existing integrated mixed-integer programming model.
近年来,人们对增材制造(AM)的变革潜力产生了浓厚的兴趣,因为它可以生产高度定制化的复杂部件,同时缩短交付周期并降低成本。随着传统和新型商业模式中增材制造的兴起,对增材制造设备的高效规划程序提出了更高的要求。在这一领域,AM 机器(也称为 3D 打印机)要制造的部件的分配和排序是一个复杂的挑战,它结合了两个组合问题:第一个决定涉及将部件分组到生产批次中,类似于著名的料仓包装问题。随后,第二个问题涉及将这些批次安排到可用机器上,这相当于并行机器调度问题。为了最小化生产间隔,本文提出了一种新的分支-切割算法,用于对不相关的并行机器进行综合规划。该算法基于组合 Benders 分解:在主问题中考虑调度问题,而在子问题中检查获得的解决方案对于打包问题的可行性。当前最先进的技术被扩展用于解决旋转正交打包问题,并用于加快子问题的解决速度。在现有的和新的基准实例上进行的大量计算测试表明,与现有的综合混合整数编程模型相比,该算法性能优越,平均可将时间跨度提高 18.7%,在大型问题上的改进幅度最高可达 97.6%。
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引用次数: 0
Exact solution methods for the Resource Constrained Project Scheduling Problem with a flexible Project Structure 具有灵活项目结构的资源受限项目调度问题的精确求解方法
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2024-11-06 DOI: 10.1016/j.ejor.2024.10.029
T. van der Beek, J.T. van Essen, J. Pruyn, K. Aardal
The Resource Constrained Project Scheduling Problem with a flexible Project Structure (RCPSP-PS) is a generalization of the Resource Constrained Project Scheduling Problem (RCPSP). In the RCPSP, the goal is to determine a minimal makespan schedule subject to precedence and resource constraints. The generalization introduced in the RCPSP-PS is that, instead of executing all activities, only a subset of all activities has to be executed. We present a model that is based on two graphs: one representing precedence relations and one representing the activity selection structure. The latter defines which subset of activities has to be executed. Additionally, we present theoretical properties of this model and give an exact solution method that makes use of these properties by generating cutting planes and setting bounds on variables. Furthermore, three problem properties are introduced to classify problems in the literature. We compare our model to a model from literature on instances that possess a subset of these three problem properties and find a reduction in computing time. Furthermore, by comparing results on instances that possess all problem properties, it is shown that the computing times are decreased and better lower bounds are found by the cutting planes and variable bounds presented in this paper.
具有灵活项目结构的资源受限项目调度问题(RCPSP-PS)是资源受限项目调度问题(RCPSP)的一种概括。在 RCPSP 中,目标是在优先级和资源限制条件下确定一个最小间隔时间计划。RCPSP-PS 中引入的一般化方法是,不执行所有活动,而只执行所有活动的一个子集。我们提出了一个基于两个图的模型:一个表示优先级关系,一个表示活动选择结构。后者定义了必须执行的活动子集。此外,我们还介绍了该模型的理论属性,并给出了一种精确求解方法,该方法通过生成切割平面和设置变量边界来利用这些属性。此外,我们还介绍了三个问题属性,以便对文献中的问题进行分类。我们将我们的模型与文献中的模型进行了比较,发现在具有这三种问题属性子集的实例上,我们的模型可以减少计算时间。此外,通过比较具有所有问题属性的实例的结果,我们发现计算时间减少了,而且本文提出的切割平面和变量边界找到了更好的下界。
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引用次数: 0
A two-echelon multi-trip vehicle routing problem with synchronization for an integrated water- and land-based transportation system 水陆联运系统的双梯队多行程车辆同步路由问题
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2024-11-06 DOI: 10.1016/j.ejor.2024.10.047
Cigdem Karademir, Breno A. Beirigo, Bilge Atasoy
This study focuses on two-echelon synchronized logistics problems in the context of integrated water- and land-based transportation (IWLT) systems. The aim is to meet the increasing demand in city logistics as a result of the growth in transport activities, including parcel delivery, food delivery, and waste collection. We propose two models, a novel mixed integer linear joint model, and a logic-based Benders’ decomposition (LBBD) model, for a two-echelon problem under realistic settings such as multi-trips, time windows, and synchronization at the satellites with no storage and limited resource capacities. The objective is to optimize transfers and satellite assignments, thereby reducing overall logistics costs for street vehicles and vessels. Computational experiments demonstrate that the LBBD model is more robust in terms of solution quality and solution time on average while the added value of the LBBD is more evident when solving large-scale instances with 100 customers, reducing the overall costs by 10.6% on average and significantly reducing the fleet costs on both networks. Furthermore, we assess the effect of changing cost parameters and satellite locations in the proposed IWLT system–analyzing system behavior and suggesting potential improvements–and evaluate several system alternatives in city logistics–consisting of different transportation network designs (single- and two-echelon), vehicle types, and operational constraints. On average, the proposed two-echelon IWLT system reduces the number of kilometers traveled by vehicles at street level by ranging from 20% to 30% compared to a typical single-echelon service design that relies solely on trucks.
本研究的重点是水陆综合运输系统(IWLT)中的双梯队同步物流问题。目的是满足因运输活动(包括包裹递送、食品递送和垃圾收集)增长而日益增长的城市物流需求。我们提出了两个模型,一个是新颖的混合整数线性联合模型,另一个是基于逻辑的本德斯分解(LBBD)模型,用于解决在多趟行程、时间窗口和卫星同步等现实环境下,无存储空间且资源容量有限的双主线问题。目标是优化转运和卫星分配,从而降低街道车辆和船只的总体物流成本。计算实验表明,LBBD 模型在求解质量和平均求解时间方面更为稳健,而在求解 100 个客户的大规模实例时,LBBD 的附加值更为明显,平均降低了 10.6% 的总体成本,并显著降低了两个网络的车队成本。此外,我们还评估了在拟议的 IWLT 系统中改变成本参数和卫星位置的效果--分析系统行为并提出潜在的改进建议--并评估了城市物流中的几种系统替代方案--包括不同的运输网络设计(单梯队和双梯队)、车辆类型和操作约束。与单纯依靠卡车的典型单货柜服务设计相比,拟议的双货柜 IWLT 系统平均减少了街道车辆行驶公里数的 20% 至 30%。
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引用次数: 0
Effects of many conflicting objectives on decision-makers’ cognitive burden and decision consistency 众多相互冲突的目标对决策者认知负担和决策一致性的影响
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2024-11-06 DOI: 10.1016/j.ejor.2024.10.039
J. Matias Kivikangas, Eeva Vilkkumaa, Julian Blank, Ville Harjunen, Pekka Malo, Kalyanmoy Deb, Niklas J. Ravaja, Jyrki Wallenius
Practical planning and decision-making problems are often better and more accurately formulated with multiple conflicting objectives rather than a single objective. This study investigates a situation relevant for Multiple Criteria Decision Making (MCDM) as well as Evolutionary Multi-objective Optimization (EMO), where the decision-maker needs to make a series of choices between nondominated options characterized by multiple objectives. The cognitive capacity of humans is limited, which leads to cognitive burden that influences human decision-makers’ decisions. We measure how the varying number of objectives influences cognitive burden in a laboratory study, and the impacts that this burden has on the decision-makers’ behavior and the consistency of their decisions. We use psychophysiological, behavioral, and self-report methods. Our results suggest that a higher number of objectives (i) increases cognitive burden significantly, (ii) leads to adopting strategies in which only a limited number of objectives is considered, and (iii) decreases decision consistency.
在实际规划和决策问题中,多个相互冲突的目标往往比单一目标更好、更准确。本研究调查了与多标准决策(MCDM)和进化多目标优化(EMO)相关的一种情况,即决策者需要在以多目标为特征的非优势选项之间做出一系列选择。人类的认知能力是有限的,这导致认知负担影响人类决策者的决策。我们在实验室研究中测量了目标数量的变化如何影响认知负担,以及这种负担对决策者的行为和决策一致性的影响。我们使用了心理生理学、行为学和自我报告方法。我们的研究结果表明,目标数量越多,(i) 认知负担就会显著增加,(ii) 决策者就会采取只考虑有限数量目标的策略,(iii) 决策一致性就会降低。
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引用次数: 0
A risk-averse latency location-routing problem with stochastic travel times 具有随机旅行时间的风险规避延迟定位路由问题
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2024-11-05 DOI: 10.1016/j.ejor.2024.10.041
Alan Osorio-Mora, Francisco Saldanha-da-Gama, Paolo Toth
In this paper, a latency location-routing problem with stochastic travel times is investigated. The problem is cast as a two-stage stochastic program. The ex-ante decision comprises the location of the depots. The ex-post decision regards the routing, which adapts to the observed travel times. A risk-averse decision-maker is assumed, which is conveyed by adopting the latency CVaRα as the objective function. The problem is formulated mathematically. An efficient multi-start variable neighborhood search algorithm is proposed for tackling the problem when uncertainty is captured by a finite set of scenarios. This procedure is then embedded into a sampling mechanism so that realistic instances of the problem can be tackled, namely when the travel times are represented by random vectors with an infinite support. An extensive computational analysis is conducted to assess the methodological developments proposed and the relevance of capturing uncertainty in the problem. Additional insights include the impact of the risk level in the solutions.
本文研究了一个具有随机旅行时间的延迟定位路由问题。该问题是一个两阶段随机程序。事前决策包括仓库选址。事后决策则是根据观测到的旅行时间调整路线。假设决策者是风险规避者,将延迟时间 CVaRα 作为目标函数。该问题是用数学方法提出的。提出了一种高效的多起始变量邻域搜索算法,用于在有限场景集捕捉不确定性时解决该问题。然后,将这一程序嵌入到采样机制中,这样就可以处理该问题的实际情况,即旅行时间由具有无限支持的随机向量表示时的情况。我们进行了广泛的计算分析,以评估所提出的方法发展以及在问题中捕捉不确定性的相关性。其他见解包括风险水平对解决方案的影响。
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引用次数: 0
Automatic selection of the best performing control point approach for project control with resource constraints 自动选择性能最佳的控制点方法,用于有资源限制的项目控制
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2024-11-04 DOI: 10.1016/j.ejor.2024.10.025
Jie Song, Jinbo Song, Mario Vanhoucke
During project execution, the actual project progress shows deviations from the baseline schedule due to uncertainty. To complete the project timely, project monitoring is performed at discrete control points to identify project opportunities/problems and take possible corrective actions. These control points affect the quality of project monitoring and corrective actions, but little guidance is available on identifying situations where the control points pay off the most in terms of project duration.
在项目执行过程中,由于不确定性,实际项目进度与基准进度会出现偏差。为了按时完成项目,需要在不连续的控制点进行项目监控,以发现项目机会/问题,并采取可能的纠正措施。这些控制点会影响项目监控和纠正措施的质量,但对于如何确定在哪些情况下控制点对项目持续时间的影响最大,却几乎没有任何指导。
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引用次数: 0
A novel sigma-Mu multiple criteria decision aiding approach for mutual funds portfolio selection 用于共同基金投资组合选择的新型 sigma-Mu 多标准决策辅助方法
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2024-11-04 DOI: 10.1016/j.ejor.2024.11.003
Luís C. Dias, Panos Xidonas, Aristeidis Samitas
A Sigma-Mu approach is proposed for mutual funds portfolio selection. The mean and variance of the overall performance of each asset are considered, according to an additive aggregation model, subject to weights’ preferences provided by the decision maker. These preferences concern two independent sets of weights, i.e., those pertaining to the investment indicators and those pertaining to the time periods associated with the estimation of the indicators. For the first time in the Sigma-Mu framework, a weighting matrix is exploited, assisting on the development of a method to appraise the sources of variance, due to the weighting scheme of either the indicators or the periods. The Mu's, Sigma's and covariances estimated according to the Sigma-Mu approach, enter as inputs to mixed-integer quadratic programming (MIQP) mean-variance portfolio optimization models, in order to implement an empirical testing procedure, for a period of 8 years. The underlying MIQP models are equipped to consider non-convex investment policy constraints, such as the number of securities to be included in the portfolio, specific binary buy-in thresholds, the desired exposure of the portfolio to each investment advisor etc. The dataset that has been chosen for the empirical testing includes European mutual funds, that offer a broad exposure to the whole span of investment strategies and styles. The results document that the suggested approach may effectively be utilized in mutual funds investment management, since the portfolios constructed by the suggested methodology are associated with superior absolute and risk-adjusted performance against benchmarks.
为共同基金投资组合选择提出了一种 Sigma-Mu 方法。根据决策者提供的权重偏好,按照加法聚合模型考虑每种资产整体表现的均值和方差。这些偏好涉及两组独立的权重,即与投资指标有关的权重和与指标估算相关的时间段有关的权重。在西格玛-穆框架中首次使用了加权矩阵,有助于开发一种方法来评估由于指标或时段的加权方案而产生的差异来源。根据 "西格玛-穆 "方法估算出的 "穆"、"西格玛 "和协方差被输入到混合整数二次编程(MIQP)均值-方差组合优化模型中,以实施为期 8 年的实证测试程序。基础 MIQP 模型可考虑非凸投资政策约束,如投资组合中包含的证券数量、特定的二元买入阈值、投资组合对每个投资顾问的预期风险敞口等。实证测试所选择的数据集包括欧洲共同基金,这些基金提供了广泛的投资策略和风格。结果表明,建议的方法可以有效地用于共同基金的投资管理,因为与基准相比,建议方法构建的投资组合具有更优越的绝对业绩和风险调整后业绩。
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引用次数: 0
On subsidization of investments in R&D and production capacity 关于对研发和生产能力投资的补贴
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2024-10-30 DOI: 10.1016/j.ejor.2024.10.021
Martijn W. Ketelaars, Peter M. Kort
This article considers a sequential investment project which starts with a product innovation phase, and subsequently, once R&D is completed, a production phase. The investment decisions are the timing and size of the R&D investment, and the size of the production capacity. We show that from a social welfare perspective the firm starts the R&D project too late and installs a too low production capacity. We find that subsidization of the R&D investment is more effective in reducing this welfare loss than subsidization of the production capacity. In fact, we reach the same conclusion under both isoelastic and linear demand.
本文考虑的是一个连续投资项目,该项目从产品创新阶段开始,在研发完成后进入生产阶段。投资决策包括研发投资的时间和规模,以及生产能力的规模。我们的研究表明,从社会福利的角度来看,企业启动研发项目的时间过晚,产能过低。我们发现,补贴研发投资比补贴生产能力更能有效减少这种福利损失。事实上,我们在等弹性需求和线性需求下都得出了相同的结论。
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引用次数: 0
Prelim p. 2; First issue - Editorial Board 预览第 2 页;第一期 - 编辑委员会
IF 6 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2024-10-29 DOI: 10.1016/S0377-2217(24)00807-5
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引用次数: 0
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European Journal of Operational Research
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