Minimizing the Conditional Value-at-Risk for a Single Operating Room Scheduling Problem

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 cons...

Full description

Saved in:
Bibliographic Details
Published inLecture notes in engineering and computer science Vol. 2233/2234; p. 968
Main Authors Ito, Mari, Kobayashi, Fumiya, Takashima, Ryuta
Format Journal Article
LanguageEnglish
Published Hong Kong International Association of Engineers 14.03.2018
Subjects
Criteria
Linear programming
Mathematical models
Mathematical programming
Risk levels
Scheduling
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:2078-0958
2078-0966