Queues with Time-Varying Arrivals and Inspections with Applications to Hospital Discharge Policies
Published Online:27 Oct 2016https://doi.org/10.1287/opre.2016.1536
References
- (2013) The impact of hospital size and occupancy of hospital on the extent of ambulance diversion: Theory and evidence. Oper. Res. 61(3):554–562.Link, Google Scholar
- (2015) Patient flow in hospitals: A data-based queueing-science perspective. Stochastic Systems 5(1):146–194.Link, Google Scholar
- (1997) Transient laws of non-stationary queueing systems and their applications. Queueing Systems 25(1):115–155.Crossref, Google Scholar
- Centers for Disease Control and Prevention (2010) National hospital ambulatory medical care survey. Accessed 7/21/2015, ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/dataset_documentation/nhamcs/stata/.Google Scholar
- (2007) Impact of delayed transfer of critically ill patients from the emergency department to the intensive care unit. Critical Care Medicine 35(6): 1477–1483.Crossref, Google Scholar
- (2014) When to use speedup: An examination of service systems with returns. Oper. Res. 62(2): 462–482.Link, Google Scholar
- (2012) Optimizing ICU discharge decisions with patient readmissions. Oper. Res. 60(6):1323–1342.Link, Google Scholar
- (2014) A two-time-scale approach to time-varying queues for hospital inpatient flow management. Working paper, Cornell University, Ithaca, NY.Crossref, Google Scholar
- (2010) A model of ICU bumping. Oper. Res. 58(6):1564–1576.Link, Google Scholar
- (1986) Queueing systems with vacations—A survey. Queueing Systems 1(1):29–66.Crossref, Google Scholar
- (1993a) Mt/G/∞ queues with sinusoidal arrival rate. Management Sci. 39(2):241–252.Link, Google Scholar
- (1993b) The physics of the Mt/G/∞ queue. Oper. Res. 41(4):731–742.Link, Google Scholar
- (1986) Queueing systems with service interruptions. Oper. Res. 34(5):752–768.Link, Google Scholar
- (1961) Queues with batch departures I. Ann. Math. Statist. 32(4):1324–1332.Crossref, Google Scholar
- (1964) Queues with batch departures II. Ann. Math. Statist. 35(3):1147–1156.Crossref, Google Scholar
- (1991) Some effects of nonstationarity on multiserver Markovian queueing systems. Oper. Res. 39(3):502–511.Link, Google Scholar
- (1991) The pointwise stationary approximation for queues with nonstationary arrivals. Management Sci. 37(1):84–97.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
- (1984) The asymptotic behavior of queues with time-varying arrival rates. J. Appl. Probab. 21(1):143–156.Crossref, Google Scholar
- (1996) Server staffing to meet time-varying demand. Management Sci. 42(10):1383–1394.Link, Google Scholar
- (1995) Optimal inspection effort and scheduling for a manufacturing process with repair. Eur. J. Oper. Res. 85(2):340–351.Crossref, Google Scholar
- (2014) Are call center and hospital arrivals well modeled by nonhomogeneous Poisson processes? Manufacturing Service Oper. Manamgent 16(3):464–480.Link, Google Scholar
- (2015) ICU admission control: An empirical study of capacity allocation and its implication on patient outcomes. Management Sci. 61(1):19–38.Link, Google Scholar
- (1998) Insights on service system design from a normal approximation to Erlang’s delay formula. Production Oper. Management 7(3):282–293.Crossref, Google Scholar
- (2012) Stabilizing customer abandonment in many-server queues with time-varying arrivals. Oper. Res. 60(2):1551–1564.Link, Google Scholar
- (2002) The analysis of queues with time-varying rates for telecommunication models. Telecomm. Systems 21(2):173–204.Crossref, Google Scholar
- (2004) Queuing theory accurately models the need for critical care resources. Anesthesiology 100(5):1271–1276.Crossref, Google Scholar
- (2009) Markov Chains and Stochastic Stability, 2nd ed. (Cambridge University Press, New York).Crossref, Google Scholar
- (1986) An optimal inspection and replacement policy for a deteriorating system. J. Appl. Probab. 23(4):973–988.Crossref, Google Scholar
- (2012) The relationship between inpatient discharge timing and emergency department boarding. J. Emergency Medicine 42(2):186–196.Crossref, Google Scholar
- (2009) Association between timing of intensive care unit admission and outcomes for emergency department patients with community-acquired pneumonia. Critical Care Medicine 37(11):2867–2874.Crossref, Google Scholar
- (2010) Impact of delayed transfer of critically ill stroke patients from the emergency department to the neuro-ICU. Neurocritical Care 13(1):75–81.Crossref, Google Scholar
- (2012) Patient streaming as a mechanism for improving responsiveness in emergency departments. Oper. Res. 60(5):1080–1097.Link, Google Scholar
- (2016) Models and insights for hospital inpatient operations: Time-dependent ED boarding time. Management Sci. 62(1):1–28.Link, Google Scholar
- (1985) On regenerative and ergodic properties of k-server queue with nonstationary Poisson arrivals. J. Appl. Probab. 22(4):893–902.Crossref, Google Scholar
- (1982) Poisson arrivals see time average. Oper. Res. 30(2):223–231.Link, Google Scholar
- (2011) Identifying good nursing levels: A queuing approach. Oper. Res. 59(4):942–955.Link, Google Scholar
- (1996) Coordinated production and inspection in a tandem system. Queueing Systems 24(1):59–82.Crossref, Google Scholar
- (2004) Infinite server queues with synchronized departures driven by a single point process. Queueing Systems 48(3):309–338.Crossref, Google Scholar

