Jong-hyun Ryu

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This work proposes a new method for approximating the Pareto front of a multi-objective simulation optimization problem (MOP) where the explicit forms of the objective functions are not available. The method iteratively approximates each objective function using a metamodeling scheme and employs a weighted sum method to convert the MOP into a set of single(More)
Patient appointment scheduling (AS) in outpatient clinics is a widely studied subject and plays an important role in facilitating the efficient use of clinical resources and patients’ timely access to quality care. This paper considers two AS systems: open access (OA) and overbooking (OB). Clinics make strategic decisions on selecting an AS system and then(More)
In this paper, we consider black-box problems where the analytic forms of the objective functions are not available, and the values can only be estimated by output responses from computationally expensive simulations. We apply the sample average approximation method to multi-objective stochastic optimization problems and prove the convergence properties of(More)
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