Operating rooms scheduling

International Journal of Production Economics

Volumn 99, Issue 1-2, 2006, Pages 52-62

  Jebali, Aïda ^a   Hadj Alouane, Atidel B ^b   Ladet, Pierre ^a  

^a GIPSA LAB   (France)

^b UNIVERSITY OF TUNIS EL MANAR   (Tunisia)

Author keywords

Assignment; Mixed integer programming; Operating rooms; Scheduling; Sequencing

Indexed keywords

COMPUTATIONAL METHODS; CONSTRAINT THEORY; HEALTH CARE; INTEGER PROGRAMMING; OPERATING ROOMS; PROBLEM SOLVING; SCHEDULING; SET THEORY; SURGERY;

HEALTHCARE INSTITUTIONS; MIXED INTEGER PROGRAMMING; OPERATING ROOMS SCHEDULING; RESOURCE-RELATED CONSTRAINTS;

MACHINING;

EID: 27644543686     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2004.12.006     Document Type: Conference Paper

References (22)

1. F. Dexter A strategy to decide whether to move the last case of the day in an operating room to other empty operating room to decrease overtime labor costs International Anesthesia Research Society 91 2000 925 928
2. F. Dexter Cost implications of various operating room scheduling strategies American Society of Anesthesiologist's Clinical Update Program 52 262 2001 1 6
3. F. Dexter, and A. Macario Applications of information systems to operating room scheduling Anesthesiology 85 6 1996
4. F. Dexter, and A. Macario Decrease in case duration required to complete an additional case during regularly scheduled hours in an operating room suite A computer simulation study Anesthesia & Analgesia 88 1999 72 76
5. F. Dexter, and J.H. Tinker Analysis of strategies to decrease postanesthesia care unit costs Anesthesiology 82 1 1995
6. P.C. Gilmore, and R.E. Gomory Sequencing a one state variable machine a solvable case of travelling salesman problem Operations Research 12 1964 655 679
7. A. Guinet, and S. Chaabane Operating theatre planning International Journal of Production Economics 85 2003 69 81
8. T. Gordon, A.P.S. Lyles, and J. Fountain Surgical unit time review Resource utilization and management implications Journal of Medical Systems 12 1988 169 179
9. N.G. Hall, and C. Sriskandarajah A survey of machine scheduling problems with blocking and no-wait in process Operations Research 44 1996 510 525
10. ème Congrès International de Génie Industriel, Marseille, France.
11. Jebali, A., Hadj Alouane, A., Ladet, P., 2003a. Performance comparison of two strategies for operating room scheduling, CD-ROM ISCIII'03 (International Symposium on Computational Intelligence and Intelligent Informatics 2003), Nabeul, Tunisia, May.
12. ème Congrès International de Génie Industriel, Quebec, Canada, octobre.
13. ème Conférence Internationale Francophone d'Automatique, Nantes, France.
14. ème Conférence Internationale Francophone d'Automatique, Nantes, France.
15. Marcon, E., Kharraja, S., Simmonet, G., 2001a. The operating theatre scheduling: An approach centered on the follow-up of the risk of no realization of the planning, operating theatre planning, Proceeding of the Industrial Engineering and Production Management, Quebec City, Canada.
16. Marcon, E., Kharraja, S., Simmonet, G., 2001b, Minimization of the risk of no realization for the planning of the surgical interventions into the operating theatre, Eighth IEEE International Conference on Emerging Technologies and Factory Automation, ETFA'2001, France, pp. 675-680.
17. Mathias, J.M., 2000. Benchmarking OR Turnover Times, OR Manager, June, vol. 16, no. 6.
18. D. Rossi-Turk Comment garantir la qualité et la sécurité au bloc opératoire par une programmation et une logistique innovante? Santé et Systémique 6 1-2-3 2002
19. C. Sriskandarajah, and P. Ladet Some no-wait shops scheduling problems Complexity aspects European Journal of Operational Research 24 3 1986 424 438
20. Teil, A., 2000. Coûts d'une minute de bloc opératoire et Coûts d'un service d'anesthésie: Quelles utilisations. Actes du colloque SNPHAR, Djerba 165-181.
21. I.H. Wright, C. Kooperberg, A.B. Bonar, and G. Bashein Statistical modeling to predict elective surgery time Anesthesiology 85 6 1996
22. J. Zhou, and F. Dexter Method to assist in the scheduling of add-on surgical cases: Upper prediction bounds for surgical case durations based on the log-normal distribution Anesthesiology 89 5 1998