Scheduling to Differentiate Service in a Multiclass Service System

Dynamic Scheduling to Differentiate Delay-Based Service Levels in Multiclass Service Systems

[1]  Ward Whitt,et al.  Online Supplement to Delay-Based Service Differentiation in a Many-Server Queue with Time-Varying Arrival Rates , 2017 .

[2]  Ran Liu.  Modeling and Simulation of Nonstationary Non-Poisson Processes. , 2013 .

[3]  Ward Whitt,et al.  Server Staffing to Meet Time-Varying Demand , 1996 .

[4]  Peter G. Taylor,et al.  Nonlinear Accumulating Priority Queues with Equivalent Linear Proxies , 2017, Oper. Res..

[5]  Yunan Liu.  Staffing and Scheduling to Differentiate Service in Time-Varying Multiclass Service Systems , 2018 .

[6]  Ard,et al.  STABILIZING PERFORMANCE IN NETWORKS OF QUEUES WITH TIME-VARYING ARRIVAL RATES , 2014 .

[7]  Rami Atar,et al.  Scheduling a multi class queue with many exponential servers: asymptotic optimality in heavy traffic , 2004, math/0407058.

[8]  Ward Whitt,et al.  STABILIZING PERFORMANCE IN NETWORKS OF QUEUES WITH TIME-VARYING ARRIVAL RATES , 2014, Probability in the Engineering and Informational Sciences.

[9]  J. J. Levin.  Resolvents and bounds for linear and nonlinear Volterra equations , 1977 .

[10]  Junfei Huang,et al.  Refined Models for Efficiency-Driven Queues with Applications to Delay Announcements and Staffing , 2017, Oper. Res..

[11]  Itay Gurvich,et al.  Service-Level Differentiation in Call Centers with Fully Flexible Servers , 2008, Manag. Sci..

[12]  Barry L. Nelson,et al.  Transforming Renewal Processes for Simulation of Nonstationary Arrival Processes , 2009, INFORMS J. Comput..

[13]  Ward Whitt,et al.  Heavy-traffic limit for the initial content process , 2017 .

[14]  Amy R. Ward,et al.  Dynamic Scheduling in a Many-Server, Multiclass System: The Role of Customer Impatience in Large Systems , 2018, Manuf. Serv. Oper. Manag..

[15]  Yunan Liu,et al.  Modeling and Simulation of Nonstationary Non-Poisson Arrival Processes , 2019, INFORMS J. Comput..

[16]  Ward Whitt,et al.  STAFFING A SERVICE SYSTEM WITH NON-POISSON NON-STATIONARY ARRIVALS , 2016 .

[17]  Ding Ding,et al.  Models and Insights for Hospital Inpatient Operations: Time-Dependent ED Boarding Time , 2015, Manag. Sci..

[18]  Ward Whitt,et al.  An Introduction to Stochastic-Process Limits and their Application to Queues , 2002 .

[19]  Avishai Mandelbaum,et al.  Telephone Call Centers: Tutorial, Review, and Research Prospects , 2003, Manuf. Serv. Oper. Manag..

[20]  Amy R. Ward,et al.  Fluid Limits for Multiclass Many-Server Queues with General Reneging Distributions and Head-of-the-Line Scheduling , 2021, Math. Oper. Res..

[21]  Ward Whitt,et al.  Many-server heavy-traffic limit for queues with time-varying parameters , 2014, 1401.3933.

[22]  Leonard Kleinrock,et al.  A delay dependent queue discipline , 1964 .

[23]  Nahum Shimkin,et al.  On the asymptotic optimality of the cμ/θ rule under ergodic cost , 2011, Queueing Syst. Theory Appl..

[24]  Avishai Mandelbaum,et al.  Staffing Many-Server Queues with Impatient Customers: Constraint Satisfaction in Call Centers , 2009, Oper. Res..

[25]  J. V. Mieghem.  Dynamic Scheduling with Convex Delay Costs: The Generalized CU Rule , 1995 .

[26]  Ward Whitt,et al.  Delay-Based Service Differentiation with Many Servers and Time-Varying Arrival Rates , 2018 .

[27]  Anatolii A. Puhalskii,et al.  A heavy-traffic analysis of a closed queueing system with a GI/∞ service center , 1997, Queueing Syst. Theory Appl..

[28]  Ward Whitt,et al.  Stabilizing Customer Abandonment in Many-Server Queues with Time-Varying Arrivals , 2012, Oper. Res..

[29]  Alexander L. Stolyar,et al.  Scheduling Flexible Servers with Convex Delay Costs: Heavy-Traffic Optimality of the Generalized cµ-Rule , 2004, Oper. Res..

[30]  Ward Whitt,et al.  Staffing of Time-Varying Queues to Achieve Time-Stable Performance , 2008, Manag. Sci..

[31]  Ichiro Ito.  On the existence and uniqueness of solutions of stochastic integral equations of the Volterra type , 1979 .

[32]  Nahum Shimkin,et al.  The cµ/theta Rule for Many-Server Queues with Abandonment , 2010, Oper. Res..

[33]  Xinyun Chen,et al.  Many-server Gaussian limits for overloaded non-Markovian queues with customer abandonment , 2018, Queueing Syst. Theory Appl..

[34]  Ward Whitt,et al.  Service-Level Differentiation in Many-Server Service Systems via Queue-Ratio Routing , 2010, Oper. Res..

[35]  N. Shimkin,et al.  The c / Rule for Many-Server Queues with Abandonment , 2009 .

[36]  Yunan Liu.  Staffing to Stabilize the Tail Probability of Delay in Service Systems with Time-Varying Demand , 2018, Oper. Res..

[37]  J. Michael Harrison,et al.  Dynamic Scheduling of a Multiclass Queue in the Halfin-Whitt Heavy Traffic Regime , 2004, Oper. Res..

[38]  P. Donnelly.  MARKOV PROCESSES Characterization and Convergence (Wiley Series in Probability and Mathematical Statistics) , 1987 .

[39]  Mustafa H. Tongarlak,et al.  On scheduling a multiclass queue with abandonments under general delay costs , 2013, Queueing Syst. Theory Appl..

[40]  Mahesh Nagarajan,et al.  Patient Prioritization in Emergency Department Triage Systems: An Empirical Study of Canadian Triage and Acuity Scale (CTAS) , 2018 .

[41]  Avishai Mandelbaum,et al.  Erlang-R: A Time-Varying Queue with Reentrant Customers, in Support of Healthcare Staffing , 2014, Manuf. Serv. Oper. Manag..

[42]  Itay Gurvich,et al.  Call Center Staffing: Service-Level Constraints and Index Priorities , 2017, Oper. Res..

[43]  Amy R. Ward,et al.  Dynamic scheduling of a GI/GI/1+GI queue with multiple customer classes , 2012, Queueing Systems.

[44]  W. Whitt,et al.  Martingale proofs of many-server heavy-traffic limits for Markovian queues ∗ , 2007, 0712.4211.

[45]  Ward Whitt,et al.  Stabilizing performance in a service system with time-varying arrivals and customer feedback , 2017, Eur. J. Oper. Res..