Annals of Operations Research - Special issue on locational decisions
Model-Based Decision Support Methodology with Environmental Applications
Model-Based Decision Support Methodology with Environmental Applications
An Exact Solution Approach Based on Shortest-Paths for P-Hub Median Problems
INFORMS Journal on Computing
The Latest Arrival Hub Location Problem
Management Science
Hub Arc Location Problems: Part I-Introduction and Results
Management Science
Hub Arc Location Problems: Part II-Formulations and Optimal Algorithms
Management Science
Multiple allocation hub-and-spoke network design under hub congestion
Computers and Operations Research
Bicriteria p-Hub Location Problems and Evolutionary Algorithms
INFORMS Journal on Computing
Branch and Price for Large-Scale Capacitated Hub Location Problems with Single Assignment
INFORMS Journal on Computing
Single allocation hub location problem under congestion: Network owner and user perspectives
Expert Systems with Applications: An International Journal
Twenty-Five Years of Hub Location Research
Transportation Science
Uncapacitated single allocation p-hub maximal covering problem
Computers and Industrial Engineering
Release Time Scheduling and Hub Location for Next-Day Delivery
Operations Research
Exact Solution of Large-Scale Hub Location Problems with Multiple Capacity Levels
Transportation Science
Computers and Industrial Engineering
Journal of Intelligent Manufacturing
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A different approach to the capacitated single allocation hub location problem is presented. Instead of using capacity constraints to limit the amount of flow that can be received by the hubs, we introduce a second objective function to the model (besides the traditional cost minimizing function), that tries to minimize the time to process the flow entering the hubs. Two bi-criteria single allocation hub location problems are presented: in a first model, total time is considered as the second criteria and, in a second model, the maximum service time for the hubs is minimized. To generate non-dominated solutions an interactive decision-aid approach developed for bi-criteria integer linear programming problems is used. Both bi-criteria models are tested on a set of instances, analyzing the corresponding non-dominated solutions set and studying the reasonableness of the hubs flow charge for these non-dominated solutions. The increased information provided by the non-dominated solutions of the bi-criteria model when compared to the unique solution given by the capacitated hub location model is highlighted.