A two-phase optimization model combining Markov decision process and stochastic programming for advance surgery scheduling

•We address a downstream-constrained surgery scheduling problem under uncertainty.•We propose a novel two-phase model: Markov decision process + stochastic programming.•We develop an efficient column-generation-based heuristic (CGBH) algorithm.•The CGBH algorithm is combined with sample average appr...

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Veröffentlicht in:	Computers & industrial engineering Jg. 160; S. 107548
Hauptverfasser:	Zhang, Jian, Dridi, Mahjoub, El Moudni, Abdellah
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2021
Schlagworte:	Advance surgery scheduling Column-generation-based heuristic Markov decision process Sample average approximation Stochastic programming Two-phase optimization model Advance surgery scheduling Column-generation-based heuristic Markov decision process Two-phase optimization model Stochastic programming Sample average approximation
ISSN:	0360-8352, 1879-0550
Online-Zugang:	Volltext
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