Design of a bi-objective reliable healthcare network with finite capacity queue under service covering uncertainty |
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Affiliation: | 1. Department of Business and Economics, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark;2. Department of Management Science, Lancaster University Management School, Bailrigg, Lancaster LA1 4YX, UK;1. Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, TN, 37235, USA;2. NASA Ames Research Center, Intelligent Systems Division, Moffett Field, CA 94035, USA |
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Abstract: | This paper designs a reliable healthcare network. Under limited capacity, queue of patients may deteriorate the condition and leads to risk of death. Consequently, it is vital to investigate a queue system that considers the condition and changes over the time. Besides, treatment units just serve patients that are in their coverage threshold, while this threshold is affected by several factors. This paper considers number of patients and covering threshold under uncertainty. To handle uncertainty, an integrated approach is proposed. Two meta-heuristic algorithms are developed for the given problem. Finally, we carried out experiments to assess proposed model and approaches. |
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Keywords: | Health care Facility location Queuing theory Uncertainty modeling Meta-heuristics Multi-objective optimization (MOP) |
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