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Articles

Consultation sequencing of a hospital with multiple service points using genetic programming

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Pages 1099-1113 | Received 17 Apr 2017, Accepted 27 Dec 2017, Published online: 26 Feb 2018

References

  • Belisário, L. S., and H. Pierreval. 2015. “Using Genetic Programming and Simulation to Learn How to Dynamically Adapt the Number of Cards in Reactive Pull Systems.” Expert Systems with Applications 42: 3129–3141. doi: 10.1016/j.eswa.2014.11.052
  • Bhattacharjee, P., and P. K. Ray. 2014. “Patient Flow Modelling and Performance Analysis of Healthcare Delivery Processes in Hospitals: A Review and Reflections.” Computers & Industrial Engineering 78: 299–312. doi: 10.1016/j.cie.2014.04.016
  • Branke, J., T. Hildebrandt, and B. Scholz-Reiter. 2015. “Hyper-Heuristic Evolution of Dispatching Rules: A Comparison of Rule Representations.” Evolutionary Computation 23: 249–277. doi: 10.1162/EVCO_a_00131
  • Cayirli, T., and K. K. Yang. 2014. “A Universal Appointment Rule with Patient Classification for Service Times, No-Shows, and Walk-Ins.” Service Science 6: 274–295. doi: 10.1287/serv.2014.0087
  • Chen, R. R., and L. W. Robinson. 2014. “Sequencing and Scheduling Appointments with Potential Call-In Patients.” Production and Operations Management 23: 1522–1538. doi: 10.1111/poms.12168
  • Cochran, J. K., and A. Bharti. 2006. “Stochastic Bed Balancing of an Obstetrics Hospital.” Health Care Management Science 9: 31–45. doi: 10.1007/s10729-006-6278-6
  • Côté, M. J. 2000. “Understanding Patient Flow.” Decision Line 31 (2): 8–10.
  • Dabhi, V. K., and S. Chaudhary. 2015. “Empirical Modeling Using Genetic Programming: A Survey of Issues and Approaches.” Natural Computing 14: 303–330. doi: 10.1007/s11047-014-9416-y
  • De Angelis, V., G. Felici, and P. Impelluso. 2003. “Integrating Simulation and Optimisation in Health Care Centre Management.” European Journal of Operational Research 150: 101–114. doi: 10.1016/S0377-2217(02)00791-9
  • De Bruin, A. M., A. C. Van Rossum, M. C. Visser, and G. M. Koole. 2007. “Modeling the Emergency Cardiac In-Patient Flow: An Application of Queuing Theory.” Health Care Management Science 10: 125–137. doi: 10.1007/s10729-007-9009-8
  • Dimopoulos, C., and A. M. S. Zalzala. 2001. “Investigating the Use of Genetic Programming for a Classic One-Machine Scheduling Problem.” Advances in Engineering Software 32 (6): 489–498. doi: 10.1016/S0965-9978(00)00109-5
  • Gartner, D., and R. Kolisch. 2014. “Scheduling the Hospital-Wide Flow of Elective Patients.” European Journal of Operational Research 233: 689–699. doi: 10.1016/j.ejor.2013.08.026
  • Ghaddar, B., N. Sakr, and Y. Asiedu. 2016. “Spare Parts Stocking Analysis Using Genetic Programming.” European Journal of Operational Research 252: 136–144. doi: 10.1016/j.ejor.2015.12.041
  • Gholami, M., and M. Zandieh. 2009. “Integrating Simulation and Genetic Algorithm to Schedule a Dynamic Flexible Job Shop.” Journal of Intelligent Manufacturing 20: 481–498. doi: 10.1007/s10845-008-0150-0
  • Graff, M., H. J. Escalante, F. Ornelas-Tellez, and E. S. Tellz. 2017. “Time Series Forecasting with Genetic Programming.” Natural Computing 16: 165–174. doi: 10.1007/s11047-015-9536-z
  • Gu, J., X. Gu, and M. Gu. 2009. “A Novel Parallel Quantum Genetic Algorithm for Stochastic Job Shop Scheduling.” Journal of Mathematical Analysis and Applications 355: 63–81. doi: 10.1016/j.jmaa.2008.12.065
  • Jiang, L., and R. E. Giachetti. 2008. “A Queueing Network Model to Analyze the Impact of Parallelization of Care on Patient Cycle Time.” Health Care Management Science 11: 248–261. doi: 10.1007/s10729-007-9040-9
  • Kattan, A., S. Fatima, and M. Arif. 2015. “Time-Series Event-Based Prediction: An Unsupervised Learning Framework Based on Genetic Programming.” Information Sciences 301: 99–123. doi: 10.1016/j.ins.2014.12.054
  • Kc, D. S., and C. Terwiesch. 2012. “An Econometric Analysis of Patient Flows in the Cardiac Intensive Care Unit.” Manufacturing & Service Operations Management 14: 50–65. doi: 10.1287/msom.1110.0341
  • Klassen, K. J., and R. Yoogalingam. 2009. “Improving Performance in Outpatient Appointment Services with a Simulation Optimization Approach.” Production and Operations Management 18: 447–458. doi: 10.1111/j.1937-5956.2009.01021.x
  • Koizumi, N., E. Kuno, and T. E. Smith. 2005. “Modeling Patient Flows Using a Queuing Network with Blocking.” Health Care Management Science 8: 49–60. doi: 10.1007/s10729-005-5216-3
  • Konrad, R., K. DeSotto, A. Grocela, P. McAuley, J. Wang, J. Lyons, and M. Bruin. 2013. “Modeling the Impact of Changing Patient Flow Processes in an Emergency Department: Insights From a Computer Simulation Study.” Operations Research for Health Care 2: 66–74. doi: 10.1016/j.orhc.2013.04.001
  • Lee, S., and Y. Yih. 2014. “Reducing Patient-Flow Delays in Surgical Suites Through Determining Start-Times of Surgical Cases.” European Journal of Operational Research 238: 620–629. doi: 10.1016/j.ejor.2014.03.043
  • Liao, W., A. Garg, and L. Gao. 2018. “Design of Robust Energy Consumption Model for Manufacturing Process Considering Uncertainties.” Journal of Cleaner Production 172: 119–132. doi: 10.1016/j.jclepro.2017.10.155
  • Morikawa, K., and K. Takahashi. 2017. “Scheduling Appointments for Walk-Ins.” International Journal of Production Economics 190: 60–66. doi: 10.1016/j.ijpe.2016.10.010
  • Morikawa, K., K. Takahashi, and D. Hirotani. 2013. “Outpatient Sequencing with Consideration of the Average Waiting Times.” [In Japanese.] Journal of Japan Industrial Management Association 64: 119–127. doi: 10.11221/jima.64.119
  • Nguyen, S., Y. Mei, and M. Zhang. 2017. “Genetic Programming for Production Scheduling: A Survey with a Unified Framework.” Complex & Intelligent Systems 3: 41–66. doi: 10.1007/s40747-017-0036-x
  • Nguyen, S., M. Zhang, M. Johnston, and K. C. Tan. 2013. “Learning Iterative Dispatching Rules for Job Shop Scheduling with Genetic Programming.” International Journal of Advanced Manufacturing Technology 67: 85–100. doi: 10.1007/s00170-013-4756-9
  • O'Neill, M., L. Vanneschi, S. Gustafson, and W. Banzhaf. 2010. “Open Issues in Genetic Programming.” Genetic Programming and Evolvable Machines 11: 339–363. doi: 10.1007/s10710-010-9113-2
  • Ozcan, Y. A., E. Tànfani, and A. Testi. 2017. “Improving the Performance of Surgery-Based Clinical Pathways: A Simulation-Optimization Approach.” Health Care Management Science 20: 1–15. doi: 10.1007/s10729-016-9371-5
  • Peng, Y., X. Qu, and J. Shi. 2014. “A Hybrid Simulation and Genetic Algorithm Approach to Determine the Optimal Scheduling Templates for Open Access Clinics Admitting Walk-In Patients.” Computers & Industrial Engineering 72: 282–296. doi: 10.1016/j.cie.2014.03.026
  • Poli, R., L. Vanneschi, W. B. Langdon, and N. F. McPhee. 2010. “Theoretical Results in Genetic Programming: The Next Ten Years?” Genetic Programming and Evolvable Machines 11: 285–320. doi: 10.1007/s10710-010-9110-5
  • Rising, E. J., R. Baron, and B. Averill. 1973. “A Systems Analysis of a University-Health-Service Outpatient Clinic.” Operations Research 21: 1030–1047. doi: 10.1287/opre.21.5.1030
  • Sobolev, B. G., V. Sanchez, and C. Vasilakis. 2011. “Systematic Review of the Use of Computer Simulation Modeling of Patient Flow in Surgical Care.” Journal of Medical Systems 35: 1–16. doi: 10.1007/s10916-009-9336-z
  • Tavakkoli-Moghaddam, R., F. Jolai, F. Vaziri, P. K. Ahmed, and A. Azaron. 2005. “A Hybrid Method for Solving Stochastic Job Shop Scheduling Problems.” Applied Mathematics and Computation 170: 185–206. doi: 10.1016/j.amc.2004.11.036
  • Tay, J. C., and N. B. Ho. 2008. “Evolving Dispatching Rules Using Genetic Programming for Solving Multi-Objective Flexible Job-Shop Problems.” Computers & Industrial Engineering 54: 453–473. doi: 10.1016/j.cie.2007.08.008
  • Truong, V.-A. 2015. “Optimal Advance Scheduling.” Management Science 61: 1584–1597. doi: 10.1287/mnsc.2014.2067
  • Vijayaraghavan, V., A. Garg, and L. Gao. 2018. “Fracture Mechanics Modelling of Lithium-Ion Batteries Under Pinch Torsion Test.” Measurement 114: 382–389. doi: 10.1016/j.measurement.2017.10.008
  • Zhang, Y., and M. L. Puterman. 2013. “Developing an Adaptive Policy for Long-Term Care Capacity Planning.” Health Care Management Science 16: 271–279. doi: 10.1007/s10729-013-9229-z
  • Zhong, X., H. K. Lee, and J. Li. 2017. “From Production Systems to Health Care Delivery Systems: A Retrospective Look on Similarities, Difficulties and Opportunities.” International Journal of Production Research 55: 4212–4227. doi: 10.1080/00207543.2016.1277276

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