Prasangsha Ganguly, Sayanti Mukherjee, Jose L. Walteros, Luis Herrera
{"title":"An integrated framework to improve the resiliency of electricity distribution systems exposed to wildfires","authors":"Prasangsha Ganguly, Sayanti Mukherjee, Jose L. Walteros, Luis Herrera","doi":"10.1016/j.ejor.2025.04.035","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.04.035","url":null,"abstract":"Accurate modeling of the complex and unique interaction between the electricity distribution systems and wildfires is crucial for mitigating their devastating consequences. In this study, we develop an optimization framework for designing strategic wildfire prevention policies that involve preemptive practices, such as electricity infrastructure hardening and public safety power shutoffs. Unlike existing studies that consider the pre- and post-wildfire event decisions separately, our approach captures in a unified framework the interaction between the preemptive strategic actions, the wildfire propagation, and the post-event operational decisions, such as the microgrid formation and the electricity distribution policies. To identify resilient strategies, we propose a worst-case-analysis approach that leverages a tri-level interdiction model focused on mitigating the worst possible disruption an uncontrolled wildfire can cause. To demonstrate the benefits of our framework, we conduct a case study based on the IEEE 14 bus and IEEE 30 bus systems, testing their performance under the proposed prevention policies for different initial settings and risk scenarios. We observe that the hardening strategies are fundamental for minimizing the unserved demand and the detrimental effect on the electricity infrastructure inflicted by wildfires. Furthermore, our results provide evidence that public safety power shutoffs are particularly beneficial in scenarios where the hardening budget is low. Similarly, we note that microgrids formed around distributed generators significantly improve the resiliency of electricity distribution systems in post-disaster scenarios.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"647 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the integration of reinforcement learning and simulated annealing for the parallel batch scheduling problem with setups","authors":"Gustavo Alencar Rolim, Caio Paziani Tomazella, Marcelo Seido Nagano","doi":"10.1016/j.ejor.2025.04.042","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.04.042","url":null,"abstract":"Motivated by semiconductor applications, where wafer lots are grouped into families and processed on batch machines, this paper addresses a generalized unrelated parallel-batch scheduling problem. The goal is to minimize total completion time (flow time) while considering family- and machine-dependent setup times. We propose a mixed-integer programming formulation, establish a necessary condition for optimal schedules, and develop a polynomial-time heuristic for batching and sequencing. We also evaluate Q-Learning, a model-free reinforcement learning algorithm, for neighborhood selection within two Simulated Annealing-based metaheuristics: Stochastic Local Search (SLS) and Adaptive Large Neighborhood Search (ALNS). Results show that SLS and ALNS achieve better solutions and faster convergence compared to existing approaches. Finally, we conclude that while Q-Learning has the potential to improve solution quality in certain cases, it also increases the complexity of the algorithms, making them harder to configure and scale.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"55 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A deep learning method for optimal investment under relative performance criteria among heterogeneous agents","authors":"Mathieu Laurière, Ludovic Tangpi, Xuchen Zhou","doi":"10.1016/j.ejor.2025.04.018","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.04.018","url":null,"abstract":"Graphon games have been introduced to study games with many players who interact through a weighted graph of interaction. By passing to the limit, a game with a continuum of players is obtained, in which the interactions are through a graphon. In this paper, we focus on a graphon game for optimal investment under relative performance criteria, and we propose a deep learning method. The method builds upon two key ingredients: first, a characterization of Nash equilibria by forward–backward stochastic differential equations and, second, recent advances of machine learning algorithms for stochastic differential games. We provide numerical experiments on two different financial models. In each model, we compare the effect of several graphons, which correspond to different structures of interactions.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"35 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andreas C. Georgiou, Georgios Tsaples, Emmanuel Thanassoulis
{"title":"Planning methods using data envelopment analysis and markov systems","authors":"Andreas C. Georgiou, Georgios Tsaples, Emmanuel Thanassoulis","doi":"10.1016/j.ejor.2025.04.050","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.04.050","url":null,"abstract":"This paper explores the extension of a modelling framework that integrates data envelopment analysis (DEA) and markov systems, into a two-stage setting. In a recent paper in EJOR, a single-stage DEA-markov hybrid model was introduced, establishing a research direction blending these seemingly distinct approaches to address the attainability problem in workforce planning. Markov systems are widely used in scenarios where a population system (e.g., staff profiles, patients with chronic conditions) begins the planning horizon in a specific state and aims to transition to a new state by the end of the horizon. Although it is common for this horizon to encompass multiple steps, this hybrid model considered attainability within a single-step horizon. In the current study, we investigate problems in two phases and integrate a network DEA approach with markovian population systems under various assumptions, resulting into new variations of the relevant models. The decision maker (DM) can specify potential future outcomes (e.g., personnel flows) in consecutive steps in time, and use DEA to identify feasible courses of action through convexity (or even use the second stage in a normative manner to identify optimal flows). The two-stage DEA model captures the DM’s relative preferences for future states and provides measures of efficacy of potential flows relative to the ultimate desired state. Consequently, the organization can plan interventions to enhance the probability of achieving some anticipated goal. The paper includes illustrations using data from workforce planning and concludes with a discussion on relevant issues in healthcare, circular economy and social radicalization.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"11 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143901838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prelim p. 2; First issue - Editorial Board","authors":"","doi":"10.1016/S0377-2217(25)00334-0","DOIUrl":"10.1016/S0377-2217(25)00334-0","url":null,"abstract":"","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"325 1","pages":"Page ii"},"PeriodicalIF":6.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aria Dahimi , Virginie Lurkin , Mehrdad Mohammadi , Tom Van Woensel
{"title":"A two-echelon vehicle routing problem with mobile satellites and multiple commodities","authors":"Aria Dahimi , Virginie Lurkin , Mehrdad Mohammadi , Tom Van Woensel","doi":"10.1016/j.ejor.2025.04.027","DOIUrl":"10.1016/j.ejor.2025.04.027","url":null,"abstract":"<div><div>This paper extends the two-echelon vehicle routing problem (2E-VRP) by considering multiple commodities, multiple depots, and mobile satellites (i.e., the so-called 3M-2E-VRP). This problem also accommodates flexible last-mile delivery strategies by allowing direct deliveries via first-echelon vehicles (mobile satellites) and indirect deliveries through goods exchanges at meeting points, such as parking lots or customer locations. We first model the problem as a mixed-integer linear programming (MILP); and then develop an innovative metaheuristic algorithm to solve medium and large problem instances. The proposed metaheuristic (the so-called AS-LNS) combines an innovative Approximate Scheduling (AS) approach with Large Neighborhood Search (LNS). Computational experiments validate the 3M-2E-VRP formulation and demonstrate the effectiveness of the proposed AS-LNS algorithm. Key managerial insights are further presented through a comprehensive sensitivity analysis, wherein the impact of key parameters, such as fuel consumption and wage costs, and comparison of different problem variants, is investigated on last-mile delivery strategies.</div></div>","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"326 1","pages":"Pages 124-140"},"PeriodicalIF":6.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Eliminating conflicts in group decision-making: Exploring potential information cocoon effects across varied levels of psychological resilience","authors":"Siqi Zhang, Jianjun Zhu","doi":"10.1016/j.ejor.2025.04.028","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.04.028","url":null,"abstract":"In group decision-making (GDM), conflicts often arise, requiring decision-makers (DMs) to adjust their opinions. Variations in DMs’ backgrounds, expertise, and dynamic environmental interactions shape their psychological states, consequently affecting their information-processing strategies and potentially contributing to information cocoon effects. This study aims to develop a conflict-elimination framework that (1) evaluates DMs’ psychological states, (2) identifies the dual nature of information cocoon effects (ICEs) shaping their behaviors, and (3) formulates targeted conflict resolution strategies based on these insights. First, we employ a resilience model to quantify psychological resilience as an indicator of DMs’ psychological states. For highly resilient DMs — less susceptible to ICEs — a tailored conflict elimination strategy using a bi-level optimization model is introduced. For less resilient DMs — more prone to cocoon influences — we examine the conditions under which ICEs can obstruct or facilitate conflict resolution. We then design corresponding optimization models to harness these effects constructively. A numerical demonstration and sensitivity analysis confirm the proposed framework’s effectiveness. Our approach enhances decision-making efficiency and improves conflict resolution outcomes by aligning resolution strategies with DMs’ psychological states and the nature of their ICEs.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"16 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143901837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Condition-based production: Maximizing manufacturing revenue considering failure risk and reject rates","authors":"Xiaolei Lv, Liangxing Shi, Yingdong He, Zhen He","doi":"10.1016/j.ejor.2025.04.051","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.04.051","url":null,"abstract":"Optimizing productivity in manufacturing is crucial for increasing output and reducing costs; however, it can also negatively impact product quality and accelerate system degradation. This study is the first to propose a method for dynamically adjusting productivity while considering both system degradation and product quality. We construct a dynamic programming model using optimal control theory to address both fixed maintenance cycles and the joint optimization of production and maintenance strategies. Our approach identifies optimal production strategies for various scenarios, showing that integrating product quality considerations with productivity and degradation significantly enhances overall outcomes. Extensive numerical studies validate our results, demonstrating that this comprehensive optimization scheme not only increases production system revenue but also reduces maintenance costs as well as product defects. By accounting for the dual impact of productivity on system degradation and product quality, this research provides a more holistic and practical strategy for maximizing manufacturing revenue and product reliability. The findings offer significant theoretical and practical value, guiding enterprises toward achieving a balance between high productivity, system longevity, and product quality.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"1 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lauri Neuvonen, Mary Dillon, Eeva Vilkkumaa, Ahti Salo, Maija Jäntti, Sirpa Heinävaara
{"title":"Optimizing the Finnish colorectal cancer population screening program with decision programming","authors":"Lauri Neuvonen, Mary Dillon, Eeva Vilkkumaa, Ahti Salo, Maija Jäntti, Sirpa Heinävaara","doi":"10.1016/j.ejor.2025.04.022","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.04.022","url":null,"abstract":"In Finland, colorectal cancer (CRC) incidence rates have steadily increased over the last decades and as of 2020, CRC is the second most common cancer in both males and females. CRC is a crucial concern for the public health of Finland, highlighted by the recent implementation of a national population screening program. In this paper, we optimize the screening test positivity cut-off levels and the use of potential incentives for stratified populations to minimize cancer prevalence. The optimization results, computed with the novel Decision Programming approach for discrete multi-stage decision problems under uncertainty, show the optimal cut-off levels and uses of incentives for Finnish target groups subject to different constraints on colonoscopy capacity. The outcomes of these optimal strategies are estimated to determine the expected corresponding prevalences of CRC and required colonoscopies, and expected third-party costs. Finally, measures describing different equality perspectives are presented.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"126 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal capital structure with earnings above a floor","authors":"Michi Nishihara, Takashi Shibata","doi":"10.1016/j.ejor.2025.04.023","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.04.023","url":null,"abstract":"This paper derives the optimal capital structure of a firm whose earnings follow a geometric Brownian motion with a lower reflecting barrier. The barrier can be interpreted as a market intervention threshold (e.g., a price floor) by the government or an exit threshold of weak competitors in the market. Unlike in the standard model with no barrier, the firm is able to issue riskless debt to a certain capacity determined by the barrier. The higher the barrier, the larger the riskless debt capacity, and the firm prefers riskless capital structure rather than risky capital structure. Notably, with intermediate barrier levels, the firm can choose riskless capital structure with lower leverage than the level with no barrier. This mechanism can help explain debt conservatism observed in practice. The paper also entails several implications of public intervention by examining the lowest barrier (i.e., the weakest intervention) to achieve riskless capital structure.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"24 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143901834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}