Abstract
This study considers guest flows to scheduled events in the Georgia Aquarium. We introduce three stochastic models for arrival-departure processes that become interconnected in the periods of high demand for two distinct shows in parallel. Having the goals to prevent, control, and mitigate congestions with minimizing operating costs, we develop and solve a large-scale Mixed Integer Nonlinear Programming problem.
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Figures 1, 4, and 5 in this work are scanned copies of materials from the Georgia Aquarium and could be obtained or purchased by any visitor at that time. Other figures and photos are prepared by the corresponding author. This is a derivative study. Its publication-predecessor in Interfaces is indicated, and the differences are described throughout the text. All requirements for publication, citation, and use of material imposed by Interfaces are met. The current work substantially uses field-collected data and simulation outputs from the predecessor work for the purposes of understanding the underlying processes and consistency only. Approximation analytical models and the Mathematical Programming problem in the current work are genuine. No extra publicly available data are used.
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Shapoval, A., Lee, E.K. Managing Guest Flow in Georgia Aquarium After the Dolphin Tales Show Opening. Oper. Res. Forum 3, 51 (2022). https://doi.org/10.1007/s43069-022-00153-9
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DOI: https://doi.org/10.1007/s43069-022-00153-9