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Optimization methods for a stochastic surgery planning problem

Mehdi Lamiri 1, 2 Frédéric Grimaud 1, 3 Xiaolan Xie 2, 4
1 MSGI-ENSMSE - Département Méthodes Scientifiques pour la Gestion Industrielle
2 IFRESIS-ENSMSE - Institut Fédératif de Recherche en Sciences et Ingénierie de la Santé
3 ROGI-ENSMSE - Equipe : Recherche Opérationnelle pour le Génie Industriel
4 GIH-ENSMSE - Département Génie Industriel Hospitalier
Abstract : The purpose of this paper is to propose and compare several optimization methods for elective surgery planning when operating room (OR) capacity is shared by elective and emergency surgery. The planning problem is considered as a stochastic optimization problem in order to minimize expected overtime costs and patients' related costs. An "almost" exact method combining Monte Carlo simulation and mixed integer programming is presented, and its convergence properties are investigated. Several heuristic and meta-heuristic methods are then proposed. Numerical experimentations are conducted to compare the performance of different optimization methods.
Keywords : Operating room Surgery planning Emergency Stochastic programming Monte Carlo simulation Heuristics
Document type :
Journal articles
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https://hal-emse.ccsd.cnrs.fr/emse-00673691
Contributor : Florent Breuil <>
Submitted on : Friday, February 24, 2012 - 9:21:05 AM
Last modification on : Friday, March 6, 2020 - 1:38:19 AM

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DEMO-ENSMSE | FAYOL-ENSMSE | MSGI-ENSMSE | G2I-ENSMSE | UR-LSTI-ENSMSE | ROGI-ENSMSE | GIH-ENSMSE | CIS-ENSMSE | EMSE | IFRESIS-ENSMSE | INSTITUT-TELECOM

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Mehdi Lamiri, Frédéric Grimaud, Xiaolan Xie. Optimization methods for a stochastic surgery planning problem. International Journal of Production Economics, Elsevier, 2009, 120 (2), pp.Pages 400-410. ⟨10.1016/j.ijpe.2008.11.021⟩. ⟨emse-00673691⟩

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