How to cite this paper
Díaz-López, D., López-Valencia, N., González-Neira, E., Barrera, D., Suárez, D., Caro-Gutiérrez, M & Sefair, C. (2018). A simulation-optimization approach for the surgery scheduling problem: a case study considering stochastic surgical times.International Journal of Industrial Engineering Computations , 9(4), 409-422.
Refrences
Abdelrasol, Z., Harraz, N., & Eltawil, A. (2014). Operating Room Scheduling Problems: A Survey and a Proposed Solution Framework. In H. K. Kim, S.-I. Ao, & M. A. Amouzegar (Eds.), Transactions on Engineering Technologies (pp. 315–329). Springer Netherlands.
Addis, B., Carello, G., Grosso, A., & Tànfani, E. (2016). Operating room scheduling and rescheduling: a rolling horizon approach. Flexible Services and Manufacturing Journal, 28(1–2), 206–232.
Alonso, J. M., Clifton, J., & Diaz-Fuentes, D. (2013). The Impact of New Public Management on Efficiency: An Analysis of Madrid’s Hospitals. Health Policy, (12), 12.
Aringhieri, R., & Duma, D. (2015). The Optimization of a Surgical Clinical Pathway. In Simulation and Modeling Methodologies, Technologies and Applications, Advances in Intelligent Systems and Computing 256 (Vol. 256, pp. 313–331).
Aringhieri, R., Landa, P., Soriano, P., Tànfani, E., & Testi, A. (2015). A two level metaheuristic for the operating room scheduling and assignment problem. Computers & Operations Research, 54, 21–34.
Baesler, F., Gatica, J., & Correa, R. (2015). Simulation Optimisation for Operating Room Scheduling. International Journal of Simulation Modelling, 14(2), 215–226.
Bayer, S. (2014). Simulation modelling and resource allocation in complex services. BMJ Quality & Safety, 23(5), 353–355.
Beaulieu, I., Gendreau, M., & Soriano, P. (2012). Advanced Decision Making Methods Applied to Health Care, 173.
Brailsford, S., & Vissers, J. (2011). OR in healthcare: A European perspective. European Journal of Operational Research, 212(2), 223–234.
Brucker, P. (2007). Scheduling Algorithms (5th ed.). Berlin, Heidelberg: Springer Berlin Heidelberg.
Cardoen, B., Demeulemeester, E., & Beliën, J. (2010). Operating room planning and scheduling: A literature review. European Journal of Operational Research, 201(3), 921–932.
Cartes Rubilar, I., & Medina Duran, R. (2016). A GRASP algorithm for the elective surgeries scheduling problem in a Chilean public hospital. IEEE Latin America Transactions, 14(5), 2333–2338.
Ceballos-Acevedo, T. M., Velásquez-Restrepo, P. A., & Jaén-Posada, J. S. (2014). Length of the Hospitalization . Methodologies for Intervention Duração da estancia hospitalar . Metodologias para sua intervenção, 13(27), 274–295.
Chen, Y., Hao, J.-K., & Glover, F. (2016). An evolutionary path relinking approach for the quadratic multiple knapsack problem. Knowledge-Based Systems, 92, 23–34.
Denton, B., Viapiano, J., & Vogl, A. (2007). Optimization of surgery sequencing and scheduling decisions under uncertainty. Health Care Management Science, 10(1), 13–24. Retrieved from
Díaz-López, L. P., Fuquen-Fraile, L., Barrera, D., González-Neira, E. M., García-Herreros, L. G., Suárez, D. R., … Suárez, D. R. (2015). Control de la variabilidad en la programación de pacientes electivos en salas de cirugía. Gerencia Y Políticas de Salud, 14(28), 78–87.
Dobrzykowski, D., Saboori Deilami, V., Hong, P., & Kim, S.-C. (2014). A structured analysis of operations and supply chain management research in healthcare (1982–2011). International Journal of Production Economics, 147(2014), 514–530.
Duma, D., & Aringhieri, R. (2015). An online optimization approach for the Real Time Management of operating rooms. Operations Research for Health Care, 7, 40–51.
Elkhuizen, S. G., Das, S. F., Bakker, P. J. M., & Hontelez, J. a M. (2007). Using computer simulation to reduce access time for outpatient departments. Quality and Safety in Health Care, 16(5), 382–386.
Estupiñán, A. M., Torres, M. J., Caro, M. P., González-neira, E. M., Barrera, D., Pérez, N., … Suárez, D. R. (2016). Reglas de despacho en la programación de procedimientos quirúrgicos electivos : impacto en los indicadores de ocupación y oportunidad. Ciencias de La Salud, 14(2), 211–222. Retrieved from http://revistas.urosario.edu.co/index.php/revsalud/article/view/4948/3387
Figueira, G., & Almada-Lobo, B. (2014). Hybrid simulation-optimization methods: A taxonomy and discussion. Simulation Modelling Practice and Theory, 46, 118–134.
Framinan, J. M., & Perez-Gonzalez, P. (2015). On heuristic solutions for the stochastic flowshop scheduling problem. European Journal of Operational Research, 246(2), 413–420.
Ghazalbash, S., Sepehri, M. M., Shadpour, P., & Atighehchian, A. (2012). Operating Room Scheduling in Teaching Hospitals. Advances in Operations Research, 2012, 1–16.
Hasvold, P. E., & Scholl, J. (2011). Flexibility in interaction: sociotechnical design of an operating room scheduler. International Journal of Medical Informatics, 80(9), 631–45.
Holm, L. B., Lurås, H., & Dahl, F. a. (2013). Improving hospital bed utilisation through simulation and optimisation. With application to a 40% increase in patient volume in a Norwegian general hospital. International Journal of Medical Informatics, 82(2), 80–89.
Hulshof, P. J. H., Kortbeek, N., Boucherie, R. J., Hans, E. W., & Bakker, P. J. M. (2012). Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS. Health Systems, 1(2), 129–175.
Juan, A. A., Faulin, J., Grasman, S. E., Rabe, M., & Figueira, G. (2015). A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems. Operations Research Perspectives, 2, 62–72.
Juan, A. a., Grasman, S. E., Caceres-Cruz, J., & Bektaş, T. (2014). A simheuristic algorithm for the Single-Period Stochastic Inventory-Routing Problem with stock-outs. Simulation Modelling Practice and Theory, 46, 40–52.
Landa, P., Aringhieri, R., Soriano, P., Tànfani, E., & Testi, A. (2016). A hybrid optimization algorithm for surgeries scheduling. Operations Research for Health Care, 8, 103–114.
Li, S., Jia, Y., & Wang, J. (2012). A discrete-event simulation approach with multiple-comparison procedure for stochastic resource-constrained project scheduling. The International Journal of Advanced Manufacturing Technology, 63(1–4), 65–76.
Litvak, E. (2010). Managing Patient Flow in Hospitals: Strategies and Solutions. (E. Litvak, Ed.) (2nd ed.). Joint Commission Resources. Retrieved from http://books.google.com.co/books/about/Managing_Patient_Flow_in_Hospitals.html?id=snQPQgAACAAJ&pgis=1
Liu, Y., Chu, C., & Wang, K. (2011). A new heuristic algorithm for the operating room scheduling problem. Computers & Industrial Engineering, 61(3), 865–871.
M’Hallah, R., & Al-Roomi, A. H. (2014). The planning and scheduling of operating rooms: A simulation approach. Computers & Industrial Engineering, 78, 235–248.
Molina-Pariente, J. M., Hans, E. W., & Framinan, J. M. (2016). A stochastic approach for solving the operating room scheduling problem. Flexible Services and Manufacturing Journal, 1–28.
Molina-Sánchez, L. P., & González-Neira, E. M. (2016). GRASP to minimize total weighted tardiness in a permutation flow shop environment. International Journal of Industrial Engineering Computations, 7(1), 161–176.
Ozcan, Y. A., Tànfani, E., & Testi, A. (2017). Improving the performance of surgery-based clinical pathways: a simulation-optimization approach. Health Care Management Science, 20(1), 1–15.
Pinedo, M. L. (2012). Scheduling: Theory, algorithms and systems. Springer (4th ed., Vol. 4). New York: Springer Science & Business Media.
Pitt, M., Monks, T., Crowe, S., & Vasilakis, C. (2015). Systems modelling and simulation in health service design, delivery and decision making. BMJ Quality & Safety, bmjqs-2015-004430.
Resende, M. C., & Ribeiro, C. (2010). Greedy randomized adaptive search procedures: Advances, hybridizations, and applications. In M. Gendreau & J.-Y. Potvin (Eds.), Handbook of Metaheuristics SE - 10 (Vol. 146, pp. 283–319). Springer US.
Saadouli, H., Jerbi, B., Dammak, A., Masmoudi, L., & Bouaziz, A. (2015). A stochastic optimization and simulation approach for scheduling operating rooms and recovery beds in an orthopedic surgery department. Computers & Industrial Engineering, 80, 72–79.
Samudra, M., Van Riet, C., Demeulemeester, E., Cardoen, B., Vansteenkiste, N., & Rademakers, F. E. (2016). Scheduling operating rooms: achievements, challenges and pitfalls. Journal of Scheduling, 19(5), 493–525.
Sarin, S. C., Sherali, H. D., & Liao, L. (2013). Minimizing conditional-value-at-risk for stochastic scheduling problems. Journal of Scheduling, 17(1), 5–15.
Shylo, O. V., Prokopyev, O. a., & Schaefer, A. J. (2013). Stochastic operating room scheduling for high-volume specialties under block booking. INFORMS Journal on Computing, 25(July 2014), 682–692.
Tako, A. A., Kotiadis, K., Vasilakis, C., Miras, A., & le Roux, C. W. (2014). Improving patient waiting times: a simulation study of an obesity care service. BMJ Quality & Safety, 23(5), 373–381.
Testi, A., Tanfani, E., & Torre, G. (2007). A three-phase approach for operating theatre schedules. Health Care Management Science, 10(2), 163–172.
Van De Klundert, J., Muls, P., & Schadd, M. (2008). Optimizing sterilization logistics in hospitals. Health Care Management Science, 11(1), 23–33.
van Sambeek, J. R. C., Joustra, P. E., Das, S. F., Bakker, P. J., & Maas, M. (2011). Reducing MRI access times by tackling the appointment-scheduling strategy. BMJ Quality & Safety, 20(12), 1075–1080.
Velasco, N., Barrera, D., & Amaya, C. A. (2012). Logística hospitalaria: Lecccciones y retos para Colombia. In La salud en Colombia (pp. 309–343).
Velásquez-Restrepo, P. A., Rodríguez-Quintero, A. K., & Jaén-Posada, J. S. (2012). Aproximación metodológica a la planificación y a la programación de las salas de cirugía. Revista Gerencia Y Politicas de Salud, 12(24), 249–266. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84880281976&partnerID=tZOtx3y1
Wang, T. K., Chan, F. T. S., & Yang, T. (2014). The Integration of Group Technology and Simulation Optimization to Solve the Flow Shop with Highly Variable Cycle Time Process: A Surgery Scheduling Case Study. Mathematical Problems in Engineering, 2014, 1–10.
Zhang, Z., & Xie, X. (2015). Simulation-based optimization for surgery appointment scheduling of multiple operating rooms. IIE Transactions, 47(9), 998–1012.
Addis, B., Carello, G., Grosso, A., & Tànfani, E. (2016). Operating room scheduling and rescheduling: a rolling horizon approach. Flexible Services and Manufacturing Journal, 28(1–2), 206–232.
Alonso, J. M., Clifton, J., & Diaz-Fuentes, D. (2013). The Impact of New Public Management on Efficiency: An Analysis of Madrid’s Hospitals. Health Policy, (12), 12.
Aringhieri, R., & Duma, D. (2015). The Optimization of a Surgical Clinical Pathway. In Simulation and Modeling Methodologies, Technologies and Applications, Advances in Intelligent Systems and Computing 256 (Vol. 256, pp. 313–331).
Aringhieri, R., Landa, P., Soriano, P., Tànfani, E., & Testi, A. (2015). A two level metaheuristic for the operating room scheduling and assignment problem. Computers & Operations Research, 54, 21–34.
Baesler, F., Gatica, J., & Correa, R. (2015). Simulation Optimisation for Operating Room Scheduling. International Journal of Simulation Modelling, 14(2), 215–226.
Bayer, S. (2014). Simulation modelling and resource allocation in complex services. BMJ Quality & Safety, 23(5), 353–355.
Beaulieu, I., Gendreau, M., & Soriano, P. (2012). Advanced Decision Making Methods Applied to Health Care, 173.
Brailsford, S., & Vissers, J. (2011). OR in healthcare: A European perspective. European Journal of Operational Research, 212(2), 223–234.
Brucker, P. (2007). Scheduling Algorithms (5th ed.). Berlin, Heidelberg: Springer Berlin Heidelberg.
Cardoen, B., Demeulemeester, E., & Beliën, J. (2010). Operating room planning and scheduling: A literature review. European Journal of Operational Research, 201(3), 921–932.
Cartes Rubilar, I., & Medina Duran, R. (2016). A GRASP algorithm for the elective surgeries scheduling problem in a Chilean public hospital. IEEE Latin America Transactions, 14(5), 2333–2338.
Ceballos-Acevedo, T. M., Velásquez-Restrepo, P. A., & Jaén-Posada, J. S. (2014). Length of the Hospitalization . Methodologies for Intervention Duração da estancia hospitalar . Metodologias para sua intervenção, 13(27), 274–295.
Chen, Y., Hao, J.-K., & Glover, F. (2016). An evolutionary path relinking approach for the quadratic multiple knapsack problem. Knowledge-Based Systems, 92, 23–34.
Denton, B., Viapiano, J., & Vogl, A. (2007). Optimization of surgery sequencing and scheduling decisions under uncertainty. Health Care Management Science, 10(1), 13–24. Retrieved from
Díaz-López, L. P., Fuquen-Fraile, L., Barrera, D., González-Neira, E. M., García-Herreros, L. G., Suárez, D. R., … Suárez, D. R. (2015). Control de la variabilidad en la programación de pacientes electivos en salas de cirugía. Gerencia Y Políticas de Salud, 14(28), 78–87.
Dobrzykowski, D., Saboori Deilami, V., Hong, P., & Kim, S.-C. (2014). A structured analysis of operations and supply chain management research in healthcare (1982–2011). International Journal of Production Economics, 147(2014), 514–530.
Duma, D., & Aringhieri, R. (2015). An online optimization approach for the Real Time Management of operating rooms. Operations Research for Health Care, 7, 40–51.
Elkhuizen, S. G., Das, S. F., Bakker, P. J. M., & Hontelez, J. a M. (2007). Using computer simulation to reduce access time for outpatient departments. Quality and Safety in Health Care, 16(5), 382–386.
Estupiñán, A. M., Torres, M. J., Caro, M. P., González-neira, E. M., Barrera, D., Pérez, N., … Suárez, D. R. (2016). Reglas de despacho en la programación de procedimientos quirúrgicos electivos : impacto en los indicadores de ocupación y oportunidad. Ciencias de La Salud, 14(2), 211–222. Retrieved from http://revistas.urosario.edu.co/index.php/revsalud/article/view/4948/3387
Figueira, G., & Almada-Lobo, B. (2014). Hybrid simulation-optimization methods: A taxonomy and discussion. Simulation Modelling Practice and Theory, 46, 118–134.
Framinan, J. M., & Perez-Gonzalez, P. (2015). On heuristic solutions for the stochastic flowshop scheduling problem. European Journal of Operational Research, 246(2), 413–420.
Ghazalbash, S., Sepehri, M. M., Shadpour, P., & Atighehchian, A. (2012). Operating Room Scheduling in Teaching Hospitals. Advances in Operations Research, 2012, 1–16.
Hasvold, P. E., & Scholl, J. (2011). Flexibility in interaction: sociotechnical design of an operating room scheduler. International Journal of Medical Informatics, 80(9), 631–45.
Holm, L. B., Lurås, H., & Dahl, F. a. (2013). Improving hospital bed utilisation through simulation and optimisation. With application to a 40% increase in patient volume in a Norwegian general hospital. International Journal of Medical Informatics, 82(2), 80–89.
Hulshof, P. J. H., Kortbeek, N., Boucherie, R. J., Hans, E. W., & Bakker, P. J. M. (2012). Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS. Health Systems, 1(2), 129–175.
Juan, A. A., Faulin, J., Grasman, S. E., Rabe, M., & Figueira, G. (2015). A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems. Operations Research Perspectives, 2, 62–72.
Juan, A. a., Grasman, S. E., Caceres-Cruz, J., & Bektaş, T. (2014). A simheuristic algorithm for the Single-Period Stochastic Inventory-Routing Problem with stock-outs. Simulation Modelling Practice and Theory, 46, 40–52.
Landa, P., Aringhieri, R., Soriano, P., Tànfani, E., & Testi, A. (2016). A hybrid optimization algorithm for surgeries scheduling. Operations Research for Health Care, 8, 103–114.
Li, S., Jia, Y., & Wang, J. (2012). A discrete-event simulation approach with multiple-comparison procedure for stochastic resource-constrained project scheduling. The International Journal of Advanced Manufacturing Technology, 63(1–4), 65–76.
Litvak, E. (2010). Managing Patient Flow in Hospitals: Strategies and Solutions. (E. Litvak, Ed.) (2nd ed.). Joint Commission Resources. Retrieved from http://books.google.com.co/books/about/Managing_Patient_Flow_in_Hospitals.html?id=snQPQgAACAAJ&pgis=1
Liu, Y., Chu, C., & Wang, K. (2011). A new heuristic algorithm for the operating room scheduling problem. Computers & Industrial Engineering, 61(3), 865–871.
M’Hallah, R., & Al-Roomi, A. H. (2014). The planning and scheduling of operating rooms: A simulation approach. Computers & Industrial Engineering, 78, 235–248.
Molina-Pariente, J. M., Hans, E. W., & Framinan, J. M. (2016). A stochastic approach for solving the operating room scheduling problem. Flexible Services and Manufacturing Journal, 1–28.
Molina-Sánchez, L. P., & González-Neira, E. M. (2016). GRASP to minimize total weighted tardiness in a permutation flow shop environment. International Journal of Industrial Engineering Computations, 7(1), 161–176.
Ozcan, Y. A., Tànfani, E., & Testi, A. (2017). Improving the performance of surgery-based clinical pathways: a simulation-optimization approach. Health Care Management Science, 20(1), 1–15.
Pinedo, M. L. (2012). Scheduling: Theory, algorithms and systems. Springer (4th ed., Vol. 4). New York: Springer Science & Business Media.
Pitt, M., Monks, T., Crowe, S., & Vasilakis, C. (2015). Systems modelling and simulation in health service design, delivery and decision making. BMJ Quality & Safety, bmjqs-2015-004430.
Resende, M. C., & Ribeiro, C. (2010). Greedy randomized adaptive search procedures: Advances, hybridizations, and applications. In M. Gendreau & J.-Y. Potvin (Eds.), Handbook of Metaheuristics SE - 10 (Vol. 146, pp. 283–319). Springer US.
Saadouli, H., Jerbi, B., Dammak, A., Masmoudi, L., & Bouaziz, A. (2015). A stochastic optimization and simulation approach for scheduling operating rooms and recovery beds in an orthopedic surgery department. Computers & Industrial Engineering, 80, 72–79.
Samudra, M., Van Riet, C., Demeulemeester, E., Cardoen, B., Vansteenkiste, N., & Rademakers, F. E. (2016). Scheduling operating rooms: achievements, challenges and pitfalls. Journal of Scheduling, 19(5), 493–525.
Sarin, S. C., Sherali, H. D., & Liao, L. (2013). Minimizing conditional-value-at-risk for stochastic scheduling problems. Journal of Scheduling, 17(1), 5–15.
Shylo, O. V., Prokopyev, O. a., & Schaefer, A. J. (2013). Stochastic operating room scheduling for high-volume specialties under block booking. INFORMS Journal on Computing, 25(July 2014), 682–692.
Tako, A. A., Kotiadis, K., Vasilakis, C., Miras, A., & le Roux, C. W. (2014). Improving patient waiting times: a simulation study of an obesity care service. BMJ Quality & Safety, 23(5), 373–381.
Testi, A., Tanfani, E., & Torre, G. (2007). A three-phase approach for operating theatre schedules. Health Care Management Science, 10(2), 163–172.
Van De Klundert, J., Muls, P., & Schadd, M. (2008). Optimizing sterilization logistics in hospitals. Health Care Management Science, 11(1), 23–33.
van Sambeek, J. R. C., Joustra, P. E., Das, S. F., Bakker, P. J., & Maas, M. (2011). Reducing MRI access times by tackling the appointment-scheduling strategy. BMJ Quality & Safety, 20(12), 1075–1080.
Velasco, N., Barrera, D., & Amaya, C. A. (2012). Logística hospitalaria: Lecccciones y retos para Colombia. In La salud en Colombia (pp. 309–343).
Velásquez-Restrepo, P. A., Rodríguez-Quintero, A. K., & Jaén-Posada, J. S. (2012). Aproximación metodológica a la planificación y a la programación de las salas de cirugía. Revista Gerencia Y Politicas de Salud, 12(24), 249–266. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84880281976&partnerID=tZOtx3y1
Wang, T. K., Chan, F. T. S., & Yang, T. (2014). The Integration of Group Technology and Simulation Optimization to Solve the Flow Shop with Highly Variable Cycle Time Process: A Surgery Scheduling Case Study. Mathematical Problems in Engineering, 2014, 1–10.
Zhang, Z., & Xie, X. (2015). Simulation-based optimization for surgery appointment scheduling of multiple operating rooms. IIE Transactions, 47(9), 998–1012.