Pub Date : 2025-12-17DOI: 10.1016/j.ejor.2025.12.028
Alice Raffaele, Demetrio Lagan, Roberto Roberti
{"title":"Robust Policies for a Multi-Period Fleet Sizing Problem with Demand Uncertainty","authors":"Alice Raffaele, Demetrio Lagan, Roberto Roberti","doi":"10.1016/j.ejor.2025.12.028","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.12.028","url":null,"abstract":"","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"26 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145784698","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}
Pub Date : 2025-12-16DOI: 10.1016/j.ejor.2025.12.021
Mohammad Al Syouf, Ankit Bansal, Saligrama Agnihothri
{"title":"A branch and price algorithm for scheduling in surgery pre-admission testing clinics","authors":"Mohammad Al Syouf, Ankit Bansal, Saligrama Agnihothri","doi":"10.1016/j.ejor.2025.12.021","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.12.021","url":null,"abstract":"","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"13 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145784700","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}
Pub Date : 2025-12-16DOI: 10.1016/j.ejor.2025.12.026
Tanka Nath Dhamala, Durga Prasad Khanal, Stefan Nickel
{"title":"Optimizing Evacuation via Budget Constrained Maximum Dynamic Flow with Speed Variation and Intermediate Storage","authors":"Tanka Nath Dhamala, Durga Prasad Khanal, Stefan Nickel","doi":"10.1016/j.ejor.2025.12.026","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.12.026","url":null,"abstract":"","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"2020 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145784705","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}
Pub Date : 2025-12-16DOI: 10.1016/j.ejor.2025.12.029
Bachtiar Herdianto, Romain Billot, Flavien Lucas, Marc Sevaux
{"title":"Feature-Guided Metaheuristic with Diversity Management for Solving the Capacitated Vehicle Routing Problem","authors":"Bachtiar Herdianto, Romain Billot, Flavien Lucas, Marc Sevaux","doi":"10.1016/j.ejor.2025.12.029","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.12.029","url":null,"abstract":"","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"29 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145784699","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}
Pub Date : 2025-12-14DOI: 10.1016/j.ejor.2025.12.015
Zhensheng Zhou, Nils Boysen, Konrad Stephan, Hu Yu, Yugang Yu
In the fast-paced realm of e-commerce and omnichannel retail, the swift consolidation of orders is a crucial bottleneck in today’s distribution centers and warehouses. In this context, compact 3D sorter modules are among the latest inventions. Inside these modules an array of liftable trays circulate along loading stations and shelves to transport picked products from the former to the latter. Each shelf is tasked with gathering products for a particular customer order and is situated on one of the several movable rack carts arrayed around the module’s perimeter. Upon the completion of all orders on a rack, it is detached from the sorter, conveyed to the packing area, and supplanted by a vacant rack. Achieving efficient order consolidation with 3D sorters hinges on resolving several operational decision-making tasks: determining the allocation of orders to shelves, assigning products of identical stock keeping units to specific orders, and tray loading considering delays caused by liftable trays still occupied by a product awaiting dispatch when passing a loading station. This paper models these operational decisions, introduces efficient solution methods, and demonstrates that sophisticated optimization markedly enhances throughput efficiency beyond the capabilities of basic decision-making rules. Our computational results highlight potential performance improvements of 50% and more.
{"title":"Order consolidation in warehouses with compact 3D sorter modules","authors":"Zhensheng Zhou, Nils Boysen, Konrad Stephan, Hu Yu, Yugang Yu","doi":"10.1016/j.ejor.2025.12.015","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.12.015","url":null,"abstract":"In the fast-paced realm of e-commerce and omnichannel retail, the swift consolidation of orders is a crucial bottleneck in today’s distribution centers and warehouses. In this context, compact 3D sorter modules are among the latest inventions. Inside these modules an array of liftable trays circulate along loading stations and shelves to transport picked products from the former to the latter. Each shelf is tasked with gathering products for a particular customer order and is situated on one of the several movable rack carts arrayed around the module’s perimeter. Upon the completion of all orders on a rack, it is detached from the sorter, conveyed to the packing area, and supplanted by a vacant rack. Achieving efficient order consolidation with 3D sorters hinges on resolving several operational decision-making tasks: determining the allocation of orders to shelves, assigning products of identical stock keeping units to specific orders, and tray loading considering delays caused by liftable trays still occupied by a product awaiting dispatch when passing a loading station. This paper models these operational decisions, introduces efficient solution methods, and demonstrates that sophisticated optimization markedly enhances throughput efficiency beyond the capabilities of basic decision-making rules. Our computational results highlight potential performance improvements of 50% and more.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"10 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145759432","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}
Pub Date : 2025-12-13DOI: 10.1016/j.ejor.2025.12.012
Gabriella Colajanni, Patrizia Daniele, Anna Nagurney, Daniele Sciacca
This paper introduces a novel framework for Flexible Production Value Networks (FPVNs) based on a variational inequality formulation that captures the decentralized behavior of suppliers, manufacturers, distributors, and demand markets under environmental and capacity constraints. The model establishes existence and uniqueness conditions for the equilibrium and is solved through a projection-type algorithm. Numerical illustrations on test networks demonstrate the effectiveness of the approach. In particular, the results show that the equilibrium solutions are stable with respect to demand and cost perturbations, and they highlight the role of environmental constraints in reshaping production and distribution strategies.
{"title":"A Multitiered Framework for Competitive Flexible Production Value Networks under Environmental Regulations","authors":"Gabriella Colajanni, Patrizia Daniele, Anna Nagurney, Daniele Sciacca","doi":"10.1016/j.ejor.2025.12.012","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.12.012","url":null,"abstract":"This paper introduces a novel framework for Flexible Production Value Networks (FPVNs) based on a variational inequality formulation that captures the decentralized behavior of suppliers, manufacturers, distributors, and demand markets under environmental and capacity constraints. The model establishes existence and uniqueness conditions for the equilibrium and is solved through a projection-type algorithm. Numerical illustrations on test networks demonstrate the effectiveness of the approach. In particular, the results show that the equilibrium solutions are stable with respect to demand and cost perturbations, and they highlight the role of environmental constraints in reshaping production and distribution strategies.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"46 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145759494","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}
Pub Date : 2025-12-13DOI: 10.1016/j.ejor.2025.12.020
Jinmuzi Zhang, Xu Yang, Witold Pedrycz, Haiyan Xu
Subjectivity in classical Graph Model for Conflict Resolution (GMCR) modeling remains a primary concern and scales poorly to large-scale group (LSG) conflicts on social media. In LSG conflicts, (i) difficulties in obtaining and measuring conflict data excessively restrict model objectivity and applications, and (ii) overlapping coalitions create internal vetoes that standard reachability ignores. This motivation calls for a data-driven GMCR that can discover stakeholder groups, quantify overlaps, and preserve interpretability. Accordingly, this research starts from a data perspective and proposes a novel LSG-GMCR model with overlapping coalitions to obtain conflict equilibrium solutions. Considering the requirements of massive data with potential attributes, we employ a crawler algorithm to extract conflict texts from posts, comments, and comment replies on Weibo. A triple conflict data preprocessing mechanism is designed to accurately tackle the scattered forms and large scales. Multiple technologies are integrated to extract features. Then, a meta-clustering algorithm proposed in this paper is constructed for features with different attributes to classify clusters as the group decision makers. A fuzzy membership matrix is also yielded for overlap computation. Finally, the LSG-GMCR model with overlapping is established, supported by the formalized directed overlap and admissibility filter. For validation and verification purposes, this proposed framework is applied to investigate actual conflicts with respect to controversial issues like power rationing conflicts. The approach enhances the scalability, automation, and realism of OR-based conflict analysis and is directly applicable to policy design in complex LSG settings.
{"title":"Graph Model for Conflict Resolution of Large-scale Group with Overlapping Coalitions Based on Meta-Clustering under Big Data","authors":"Jinmuzi Zhang, Xu Yang, Witold Pedrycz, Haiyan Xu","doi":"10.1016/j.ejor.2025.12.020","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.12.020","url":null,"abstract":"Subjectivity in classical Graph Model for Conflict Resolution (GMCR) modeling remains a primary concern and scales poorly to large-scale group (LSG) conflicts on social media. In LSG conflicts, (i) difficulties in obtaining and measuring conflict data excessively restrict model objectivity and applications, and (ii) overlapping coalitions create internal vetoes that standard reachability ignores. This motivation calls for a data-driven GMCR that can discover stakeholder groups, quantify overlaps, and preserve interpretability. Accordingly, this research starts from a data perspective and proposes a novel LSG-GMCR model with overlapping coalitions to obtain conflict equilibrium solutions. Considering the requirements of massive data with potential attributes, we employ a crawler algorithm to extract conflict texts from posts, comments, and comment replies on Weibo. A triple conflict data preprocessing mechanism is designed to accurately tackle the scattered forms and large scales. Multiple technologies are integrated to extract features. Then, a meta-clustering algorithm proposed in this paper is constructed for features with different attributes to classify clusters as the group decision makers. A fuzzy membership matrix is also yielded for overlap computation. Finally, the LSG-GMCR model with overlapping is established, supported by the formalized directed overlap and admissibility filter. For validation and verification purposes, this proposed framework is applied to investigate actual conflicts with respect to controversial issues like power rationing conflicts. The approach enhances the scalability, automation, and realism of OR-based conflict analysis and is directly applicable to policy design in complex LSG settings.","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"121 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145759467","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}
Pub Date : 2025-12-12DOI: 10.1016/j.ejor.2025.12.016
Alessandro Albano, José Luis García-Lapresta, Antonella Plaia, Mariangela Sciandra
{"title":"Measuring consensus and voter influence in ternary preferences","authors":"Alessandro Albano, José Luis García-Lapresta, Antonella Plaia, Mariangela Sciandra","doi":"10.1016/j.ejor.2025.12.016","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.12.016","url":null,"abstract":"","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"31 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731377","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}
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