@inproceedings{40377b0a36dc46bba98978d49b257aed,
title = "Minimizing the conditional value-at-risk for a single operating room scheduling problem",
abstract = "We introduce a stochastic programming model for scheduling a single operating room using the conditional value-at-risk (CVaR) as a criterion. This criterion expresses the risk-averse attitude of the scheduler to the risk event that the expected end time of a surgery presumed by a surgeon can be considerably delayed. One of the important advantages of the CVaR is that the stochastic programming problem can be treated as a linear programming problem. Owing to this characteristic, the CVaR is more practical than traditional expectation based approaches. In this paper, we evaluate the effectiveness of the proposed model using numerical experiments.",
author = "Mari Ito and Fumiya Kobayashi and Ryuta Takashima",
note = "Funding Information: Manuscript received December 8. This work was supported by JSPS KAKENHI Grant Number JP16H07226. M. Ito is with the Department of Industrial Administration, Tokyo University of Science, 2641 Yamazaki, Noda-shi Chiba 278-8510 Japan e-mail:
[email protected]. F. Kobayashi and R. Takashima are with Tokyo University of Science. Publisher Copyright: {\textcopyright} 2018 Newswood Limited. All rights reserved.; 2018 International MultiConference of Engineers and Computer Scientists, IMECS 2018 ; Conference date: 14-03-2018 Through 16-03-2018",
year = "2018",
language = "English",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
editor = "Oscar Castillo and Feng, \{David Dagan\} and A.M. Korsunsky and Craig Douglas and Ao, \{S. I.\}",
booktitle = "Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, IMECS 2018",
}