TY - JOUR
T1 - Scheduling elective surgery under uncertainty and downstream capacity constraints
AU - Min, Daiki
AU - Yih, Yuehwern
PY - 2010/11/1
Y1 - 2010/11/1
N2 - The objective of this study is to generate an optimal surgery schedule of elective surgery patients with uncertain surgery operations, which includes uncertainty in surgery durations and the availability of downstream resources such as surgical intensive care unit (SICU) over multi-periods. The stochastic optimization is adapted and the sample average approximation (SAA) method is proposed for obtaining an optimal surgery schedule with respect to minimizing the total cost of patient costs and overtime costs. A computational experiment is presented to evaluate the performance of the proposed method.
AB - The objective of this study is to generate an optimal surgery schedule of elective surgery patients with uncertain surgery operations, which includes uncertainty in surgery durations and the availability of downstream resources such as surgical intensive care unit (SICU) over multi-periods. The stochastic optimization is adapted and the sample average approximation (SAA) method is proposed for obtaining an optimal surgery schedule with respect to minimizing the total cost of patient costs and overtime costs. A computational experiment is presented to evaluate the performance of the proposed method.
KW - Downstream resource constraint
KW - Stochastic programming
KW - Surgery scheduling problem
UR - http://www.scopus.com/inward/record.url?scp=77951143256&partnerID=8YFLogxK
U2 - 10.1016/j.ejor.2010.03.014
DO - 10.1016/j.ejor.2010.03.014
M3 - Article
AN - SCOPUS:77951143256
SN - 0377-2217
VL - 206
SP - 642
EP - 652
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 3
ER -