Browsing Industrial Engineering by Author "(ORCID 0000-0001-8282-5572 & YÖK ID 29747) Kayış, Enis"
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Designing an efficient gradient descent based heuristic for clusterwise linear regression for large datasets
Kayış, Enis (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 ... -
The effect of few historical data on the performance of sample average approximation method for operating room scheduling
Göktürk, Elvin Çoban; Kayış, Enis; Dexter, F. (Wiley, 2023-01)We model the scheduling problem of a single operating room for outpatient surgery, with uncertain case durations and an objective function comprising waiting time, idle time, and overtime costs. This stochastic scheduling ... -
A longitudinal model for song popularity prediction
Çimen, Ahmet; Kayış, Enis (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 ... -
Next-day operating room scheduling with time-dependent stochastic surgery durations
Kayış, Enis; Karataş, T.; Güllü, R. (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 ... -
Single item periodic review inventory control with sales dependent stochastic return flows
Gökbayrak, Esra; Kayış, Enis (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 ...
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