Title
A two-level optimization model for elective surgery scheduling with downstream capacity constraints
Abstract
•We study a stochastic downstream-constrained elective surgery scheduling problem.•We provide a two-level optimization model combining MDP and stochastic programming.•We solve the model via structural analysis and approximate dynamic programming.•The proposed model is compared to a conventional stochastic programming formulation.•Results show that the proposed model results in significantly lower long-term cost.
Year
DOI
Venue
2019
10.1016/j.ejor.2019.01.036
European Journal of Operational Research
Keywords
Field
DocType
OR in health services,Surgery scheduling,Markov decision process,Approximate dynamic programming,Recursive least-squares temporal difference learning
Dynamic programming,Temporal difference learning,Mathematical optimization,Job shop scheduling,Time horizon,Scheduling (computing),Markov decision process,Schedule,Stochastic programming,Mathematics
Journal
Volume
Issue
ISSN
276
2
0377-2217
Citations 
PageRank 
References 
2
0.37
0
Authors
3
Name
Order
Citations
PageRank
Jian Zhang11069.61
Mahjoub Dridi2227.05
Abdellah El Moudni315326.13