Physician Staffing for Emergency Departments with Time-Varying Demand
Published Online:15 Oct 2018https://doi.org/10.1287/ijoc.2017.0799
References
- (2009) Simulation optimization for an emergency department healthcare unit in Kuwait. Eur. J. Oper. Res. 198(3):936–942.Crossref, Google Scholar
- (2004) An indirect genetic algorithm for a nurse-scheduling problem. Comput. Oper. Res. 31(5):761–778.Crossref, Google Scholar
- (2007) The modern call center: A multi-disciplinary perspective on operations management research. Production Oper. Management 16(6):665–688.Crossref, Google Scholar
- (2004) Call center staffing with simulation and cutting plane methods. Ann. Oper. Res. 127(1):333–58.Crossref, Google Scholar
- (2008) Optimizing call center staffing using simulation and analytic center cutting-plane methods. Management Sci. 54(2):295–309.Link, Google Scholar
- (2010) Optimizing daily agent scheduling in a multiskill call center. Eur. J. Oper. Res. 200(3):822–832.Crossref, Google Scholar
- (2005) Preference scheduling for nurses using column generation. Eur. J. Oper. Res. 164(2):510–534.Crossref, Google Scholar
- (2008) A branch-and-price approach for integrating nurse and surgery scheduling. Eur. J. Oper. Res. 189(3):652–668.Crossref, Google Scholar
- (2014) New approaches to nurse rostering benchmark instances. Eur. J. Oper. Res. 237(1):71–81.Crossref, Google Scholar
- (2010) A hybrid model of integer programming and variable neighbourhood search for highly-constrained nurse rostering problems. Eur. J. Oper. Res. 203(2):484–493.Crossref, Google Scholar
- (2008) A hybrid heuristic ordering and variable neighbourhood search for the nurse rostering problem. Eur. J. Oper. Res. 188(2):330–341.Crossref, Google Scholar
- (2001) Scheduling emergency room physicians. Health Care Management Sci. 4(4):347–360.Crossref, Google Scholar
- (2009) Workforce scheduling with multiple objectives. Eur. J. Oper. Res. 196(1):162–170.Crossref, Google Scholar
- (2003) Nurse rostering problems—A bibliographic survey. Eur. J. Oper. Res. 151(3):447–460.Crossref, Google Scholar
- (2011) A categorisation of nurse rostering problems. J. Scheduling 14(1):3–16.Crossref, Google Scholar
- (2011) Setting staffingng levels in an emergency department: Opportunities and limitations of stationary queuing models. Rev. Bus. Econom. 56(1):73–100.Google Scholar
- (2013) Controlling excessive waiting times in small service systems with time-varying demand: An extension of the ISA algorithm. Decision Support Systems 54(4):1558–1567.Crossref, Google Scholar
- (2016a) A branch-and-bound algorithm for shift scheduling with stochastic nonstationary demand. Comput. Oper. Res. 65(January):149–162.Crossref, Google Scholar
- (2016b) Staffing and scheduling under nonstationary demand for service: A literature review. Omega 58(1):4–25.Crossref, Google Scholar
- (1993) Mt/G/∞ queues with sinusoidal arrival rates. Management Sci. 39(2):241–252.Link, Google Scholar
- (2008) Staffing of time-varying queues to achieve time-stable performance. Management Sci. 54(2):324–338.Link, Google Scholar
- (2003) Telephone call centers: Tutorial, review, and research prospects. Manufacturing Service Oper. Management 5(2):79–141.Link, Google Scholar
- (2010) The nurse rostering problem: A critical appraisal of the problem structure. Eur. J. Oper. Res. 202(2):379–389.Crossref, Google Scholar
- (1977) Transient solutions in Markovian queueing systems. Comput. Oper. Res. 4(1):47–53.Crossref, Google Scholar
- (1991) The pointwise stationary approximation for queues with nonstationary arrivals. Management Sci. 37(1):84–97.Link, Google Scholar
- (2007) Computing time-dependent waiting time probabilities in M(t)/M/s(t) queuing systems. Manufacturing Service Oper. Management 9(1):54–61.Link, Google Scholar
- (2001) Improving the SIPP approach for staffing service systems that have cyclic demands. Oper. Res. 49(4):549–564.Link, Google Scholar
- (1991) Some effects of nonstationarity on multiserver Markovian queueing systems. Oper. Res. 39(3):502–511.Link, Google Scholar
- (2007) Coping with time-varying demand when setting staffing requirements for a service system. Production Oper. Management 16(1):13–39.Crossref, Google Scholar
- (2006) Using queueing theory to increase the effectiveness of emergency department provider staffing. Acad. Emergency Medicine 13(1):61–68.Crossref, Google Scholar
- (2007) An ACO algorithm for a dynamic regional nurse-scheduling proble1m in Austria. Comput. Oper. Res. 34(3):642–666.Crossref, Google Scholar
- (2003) A subproblem-centric model and approach to the nurse scheduling problem. Math. Programming 97(3):517–541.Crossref, Google Scholar
- (2002) Accounting for time varying queueing effects in workforce scheduling. Eur. J. Oper. Res. 139(3):585–597.Crossref, Google Scholar
- (2007) A survey and experimental comparison of service-level-approximation methods for nonstationary Mt/M/st queueing systems with exhaustive discipline. INFORMS J. Comput. 19(2):201–214.Link, Google Scholar
- (2010) Combining integer programming and the randomization method to schedule employees. Eur. J. Oper. Res. 202(1):153–163.Crossref, Google Scholar
- (2012) Setting staffing requirements for time-dependent queueing networks: The case of accident and emergency departments. Eur. J. Oper. Res. 2193):531–540.Crossref, Google Scholar
- (2006) Discrete-event simulation of health care systems. Hall RW, ed. Patient Flow: Reducing Delay in Healthcare Delivery, International Series in Operations Research and Management Science, Vol. 91 (Springer, New York), 211–252.Crossref, Google Scholar
- (1998) A generalized linear programming model for nurse scheduling. Eur. J. Oper. Res. 107(1):1–18.Crossref, Google Scholar
- (1996) Server staffing to meet time-varying demand. Management Sci. 42(10):1383–1394.Link, Google Scholar
- (1999) Application of discrete-event simulation in health care clinics: A survey. J. Oper. Res. Soc. 50(2):109–123.Crossref, Google Scholar
- (2004) Access to emergency care: Restricted by long waiting times and cost and coverage concerns. Ann. Emergency Medicine 43(5):567–573.Crossref, Google Scholar
- (1974) Queueing Systems, Volume 1: Theory (John Wiley & Sons, New York).Google Scholar
- (2003) Optimal shift scheduling with a global service level constraint. IIE Trans. 35(11):1049–1055.Crossref, Google Scholar
- (2012) Stabilizing customer abandonment in many-server queues with time-varying arrivals. Oper. Res. 60(6): 1551–1564.Link, Google Scholar
- (1997) Peak congestion in multi-server service systems with slowly varying arrival rates. Queueing Systems 25(1–4):157–172.Crossref, Google Scholar
- (2007) A genetic algorithm approach to a nurse rerostering problem. Comput. Oper. Res. 34(3):667–691.Crossref, Google Scholar
- (2013) Workforce planning and deployment for a hospital reservation call center with abandonment cost and multiple tasks. Comput. Indust. Engrg. 65(2):297–309.Crossref, Google Scholar
- (2009) Medical doctor rostering problem in a hospital emergency department by means of genetic algorithms. Comput. Indust. Engrg. 56(4):1232–1242.Crossref, Google Scholar
- (2010) A stochastic programming model for scheduling call centers with global service level agreements. Eur. J. Oper. Res. 207(3):1608–1617.Crossref, Google Scholar
- (2007) Staggered work shifts: A way to downsize and restructure an emergency department workforce yet maintain current operational performance. Health Care Management Sci. 103):293–308.Crossref, Google Scholar
- (1991) The pointwise stationary approximation for Mt/Mt/s. Management Sci. 37(3):307–14.Link, Google Scholar
- (2002) Solutions for the Erlang B and C formulas. IEOR 6707 Homework 1e, Columbia University, New York. http://www.columbia.edu/∼ww2040/ErlangBandCFormulas.pdf.Google Scholar
- (2004a) A diffusion approximation for the G/GI/n/m queue. Oper. Res. 52(6):922–941.Link, Google Scholar
- (2004b) Efficiency-driven heavy-traffic approximations for many-server queues with abandonments. Management Sci. 50(10):1449–1461.Link, Google Scholar
- (2006) Fluid models for multiserver queues with abandonments. Oper. Res. 54(1):37–54.Link, Google Scholar
- (2007) What you should know about queueing models to set staffing requirements in service systems. Naval Res. Logist. 54(5):476–484.Crossref, Google Scholar
- (2007) Using simulation technique and genetic algorithm to improve the quality care of a hospital emergency department. Expert Systems Appl. 32(4):1073–1083.Crossref, Google Scholar
- (2014) Erlang-R: A time-varying queue with reentrant customers, in support of healthcare staffing. Manufacturing Service Oper. Management 16(2):283–299.Link, Google Scholar
- (2011) Simulation-based models of emergency departments: Operational, tactical, and strategic staffing. ACM Trans. Modeling Comput. Simulation 21(4):1–21.Crossref, Google Scholar

