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A CART-based genetic algorithm for constructing higher accuracy decision trees
(SciTePress, 2020)
Decision trees are among the most popular classification methods due to ease of implementation and simple interpretation. In traditional methods like CART (classification and regression tree), ID4, C4.5; trees are constructed ...
A robust estimation model for surgery durations with temporal, operational, and surgery team effects
(Springer Science+Business Media, 2015-09)
For effective operating room (OR) planning, surgery duration estimation is critical. Overestimation leads to underutilization of expensive hospital resources (e.g., OR time) whereas underestimation leads to overtime and ...
Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics
(Elsevier, 2020-10-01)
Operating rooms are units of particular interest in hospitals as they constitute more than 40% of total expenses and revenues. Managing operating rooms is challenging due to conflicting priorities and preferences of various ...
An extension to the classical mean–variance portfolio optimization model
(Taylor & Francis, 2019-07)
The purpose of this study is to find a portfolio that maximizes the risk-adjusted returns subject to constraints frequently faced during portfolio management by extending the classical Markowitz mean-variance portfolio ...
Delegation vs. control of component procurement under asymmetric cost information and simple contracts
(Informs, 2013)
A manufacturer must choose whether to delegate component procurement to her tier 1 supplier or control it directly. Because of information asymmetry about suppliers’ production costs and the use of simple quantity discount ...
A gradient descent based heuristic for solving regression clustering problems
(SciTePress, 2020)
Regression analysis is the method of quantifying the effects of a set of independent variables on a dependent variable. In regression clustering problems, the data points with similar regression estimates are grouped into ...
A longitudinal model for song popularity prediction
(SciTePress, 2021)
Usage of new generation music streaming platforms such as Spotify and Apple Music has increased rapidly in the last years. Automatic prediction of a song's popularity is valuable for these firms which in turn translates ...
Designing an efficient gradient descent based heuristic for clusterwise linear regression for large datasets
(Springer, 2021)
Multiple linear regression is the method of quantifying the effects of a set of independent variables on a dependent variable. In clusterwise linear regression problems, the data points with similar regression estimates ...
Single item periodic review inventory control with sales dependent stochastic return flows
(Elsevier, 2023-01)
Retailers have to deal with increasing levels of product returns as the shares of e-commerce sales soars. With this increase, it is no longer feasible to dispatch returned products to outlets or landfills, hence retailers ...
Next-day operating room scheduling with time-dependent stochastic surgery durations
(Springer, 2022)
Operating rooms (ORs) are the most costly part of hospitals, thus a priority for hospital administrations. In this paper, we consider the next-day OR scheduling problem for multiple operating rooms. We assume that surgeries ...
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