A combined optimization-simulation approach to the master surgical scheduling problem

2013 ◽  
Vol 24 (2) ◽  
pp. 155-187 ◽  
Author(s):  
C. Banditori ◽  
P. Cappanera ◽  
F. Visintin
2020 ◽  
Vol 286 (2) ◽  
pp. 662-672 ◽  
Author(s):  
Estelle Altazin ◽  
Stéphane Dauzère-Pérès ◽  
François Ramond ◽  
Sabine Tréfond

2011 ◽  
Vol 20 (3) ◽  
pp. 392-405 ◽  
Author(s):  
Jerrold H. May ◽  
William E. Spangler ◽  
David P. Strum ◽  
Luis G. Vargas

2013 ◽  
Vol 27 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Conceição Granja ◽  
Bernardo Almada-Lobo ◽  
Filipe Janela ◽  
João Seabra ◽  
Adélio Mendes

2012 ◽  
Vol 201-202 ◽  
pp. 1004-1007 ◽  
Author(s):  
Guo Xun Huang ◽  
Wei Xiang ◽  
Chong Li ◽  
Qian Zheng ◽  
Shan Zhou ◽  
...  

The efficient surgical scheduling of the operating theatre plays a significant role in hospital’s income and cost. Currently surgical scheduling only considered the surgery process in operating room and ignored other stages which should not be left out in real situations. The surgical scheduling problem is regarded as the hybrid flow-shop scheduling problem in this study. Each elective surgery which need local anesthesia has to go through a two-stage surgery procedure. Beds and operating rooms are represented as parallel machines. A mathematical model for such surgical scheduling problem is proposed and solved by LINGO. A case study with its optimal solution is also presented to verify the model.


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