Queueing Theory Research Papers

Research Papers (listed alphabetically) –Last updated January 23, 2018.

Back To Top

  1. Adler P.S., Mandelbaum A., Nguyen V., and Schwerer E. From project to process management: An empirically-based framework for analyzing product development time. Management Science, 41, 458–484, 1995. (PDF-2MB)
  2. Aldor-Noiman S., Feigin P.D., and Mandelbaum A. Workload Forecasting for a Call Center: Methodology and a Case Study. The Annals of Applied Statistics, vol. 3, No.4, pp. 1403-1447, 2009 (PDF-700KB)(ZIP-307KB)
  3. Aldor S. and Feigin P.D. Modeling Arrivals to the Agents Queue in a Call Center. Technical Report, September 2007. (PDF-590KB)
  4. Armony M. and Mandelbaum A. Design, staffing and control of large service systems: The case of a single customer class and multiple server types. Draft, March 2004. (PDF-400KB)
  5. Armony M, and Mandelbaum A. Routing and Staffing in Large-Scale Service Systems: The Case of Homogeneous Impatient Customers and Heterogeneous Servers. Operations Research Vol. 59, No. 1, January–February 2011(PDF-353KB), Technical appendix: (PDF-322KB)
  6. Armony M.,Israelit S., Mandelbaum A., Marmor Y., Tseytlin Y., and Yom-Tov G. Patient Flow in Hospitals: A Data-Based Queueing-Science Perspective.Resubmitted, May 2015 (PDF-1.4MB), Extended version (PDF-2.55MB). Reproducing EDA via SEEStat(Link). http://pubsonline.informs.org/doi/full/10.1287/14-SSY153
  7. Atar R., Mandelbaum A., and Reiman M. Scheduling a Multi-Class Queue with Many iid Servers: Asymptotic Optimality in Heavy-Traffic.  The Annals of Applied Probability, 14(3), pp. 1084-1134, 2004. (Preprint PS-525KB)(Published PDF-390KB)
  8. Atar R., Mandelbaum A., and Reiman M. A Brownian Control Problem for a Simple Queueing System in the Halfin-Whitt Regime. Technical Report, Technion EE, 2001.Systems and Control Letters, 51(3-4), 269-275, 2004.  (PS-170KB)  
  9. R., A., and G. Queueing systems with many servers: null controllability in heavy traffic.  TheAnnals of Applied Probability, 16(4), 1764-1804, 2006. (PDF-460KB)
  10. Atar R., Mandelbaum A. and Shaikhet G. Simplified Control Problems for Multiclass Many-Server Queueing Systems. Mathematics of Operations Research, 34(4), 795–812, 2009. (PDF-498KB)
  11. Atar R., Mandelbaum A. and Zviran A. Control of Fork-Join Networks in Heavy Traffic. Allerton Conference, 2012.  (PDF-494KB)
  12. Azriel D., Feigin P.D. and Mandelbaum A.Erlang-S: A Data-Based Model of Servers in Queueing Networks. Submitted, January 2017; revised November 2017. (PDF-1.46MB)
  13. Borst S., Mandelbaum A., and Reiman M. Dimensioning Large Call Centers.Operations Research, 52(1), pp. 17-34, 2004. (Preprint PS-490KB), (Published PDF -240KB)
  14. Brown L., Gans N., Mandelbaum A., Sakov A., Shen H.,Zeltyn S. and Zhao L.  Statistical Analysis of a TelephoneCallCenter: A Queueing-Science Perspective.(2005) Journal of the American Statistical Association, Vol 100: 36-50. (PDF-450KB). An extended version of the JASA paper(PDF - 1.6Mb)(PS-18.4Mb)
  15. Chen H., Harrison J.M., Mandelbaum A., van Ackere A., and Wein L. Empirical Evaluation of a Queueing Network Model for Semiconductor Wafer Fabrication. Operations Research, special issue in Manufacturing, 36, 202-216, 1988. (PDF-2.73MB)
  16. Chen H. and Mandelbaum A. Hierarchical Modelling of Stochastic Networks, Part I: Fluid Models, Stochastic Modeling and Analysis of Manufacturing Systems, edited by D.D. Yao, Springer Series in Operations Research, 47-106, 1994. (PDF-2.6MB)
  17. Chen H. and Mandelbaum A. Hierarchical Modelling of Stochastic Networks, Part II: Strong Approximations, Stochastic Modeling and Analysis of Manufacturing Systems, edited by D.D. Yao, Springer Series in Operations Research, 107-131, 1994. (PDF-2.6MB)
  18. Chen H. and Mandelbaum A. Leontieff Systems, RBV's and RBM's, Proceedings of the Imperial College Workshop on Applied Stochastic Processes, Editors M.H.A Davis and R.J. Elliot, Gordon and Breach Science Publishers, 1991. (PDF-1.65MB)
  19. Choudhury G.L., Mandelbaum A., Reiman M.I., and Whitt W. Fluid and Diffusion Limits for Queues in Slowly Changing Enviornments, (1997) Stochastic Models, 13 (1), 121-146. (PDF-323KB)
  20. Cohen Izack, Mandelbaum A., and Shtub A. Multi-Project Scheduling and Control: A Process-Based Comparative Study of the Critical Chain Methodology and Some Alternatives. Project Management Journal, 35 (2), 39-49, 2004. (PDF-2MB)
  21. Cohen I., Mandelbaum A. and Zychlinski N. Minimizing Mortality in a Mass Casualty Event: Fluid Networks in Support of Modeling and Staffing. IIE Transactions, 46(7), pp. 728-741, March 2014. (PDF-1.99MB)(Appendix-719KB)
  22. Feigin P.D. Analysis of Customer Patience in a Bank Call Center. Working Paper, Technion, 2006. (PDF-669KB)
  23. Feldman Z. and Mandelbaum A.  Using Simulation-Based Stochastic Approximation to Optimize Staffing of Systems with Skills-Based-Routing  Proceedings of the 2010 Winter Simulation Conference 2010. (PDF-178KB).
  24. Feldman Z., Mandelbaum A., Massey W.A., and Whitt W.  Staffing of Time-Varying Queues to Achieve Time-Stable Performance. Management Science, vol. 54, No.2, February 2008, pp. 324-338.(PDF-580KB) . Internet supplement(PDF-1.15MB).Unabridged version  (PDF-2.74MB)

25.   Gal A., Mandelbaum A., Schnitzler F., Senderovich A. and Weidlich M. Traveling Time Prediction in Scheduled Transportation with Journey Segments. Accepted, December 2015.(PDF-1.59MB)

  1. Gans N., Koole G., and Mandelbaum A.Telephone Call Centers:Tutorial, Review and Research Prospects. Invited review paper by Manufacturing and Service Operations Management (M&SOM), 5 (2), pp. 79–141,  2003. (PDF-1MB).  Preprint  (PDF-2.12MB). 
  2. Gans N., Liu N., Mandelbaum A., Shen H. and Ye H.  Service Times in Call Centers: Agent Heterogeneity and Learning with some Operational Consequences.  Book on the occasion of Larry Brown's 70s Birthday, December 2010. (PDF-974KB) .
  3. Garnett O., Mandelbaum A., and Reiman M. Designing a Call Center with Impatient Customers. Basic version, 2000. (Detailed)  (PDF-300KB)  (PS-265KB)
  4. Garnett O., Mandelbaum A., and Reiman M. Designing a Call Center with Impatient Customers. Manufacturing and Service Operations Management, 4(3), 208-227, 2002.  (PDF-670KB)  
  5. Goldberg Y, Ritov Y. and Mandelbaum A. Predicting the Continuation of a Function with Applications to Call Center Data. To be published in the Journal of Statistical Planning and Inference, September2013.(PDF-411KB).
  6. Gurvich I., Armony M., and Mandelbaum A.Service Level Differentiation in Call Centers with Fully Flexible Servers. Management Science, vol. 54, No.2, pp. 279-294, February 2008. (PDF-210KB) . Technical Appendix  (PDF-380KB).\
  7. Gurvich I., Huang J., Mandelbaum A. Excursion-Based Universal Approximations for the Erlang-A Queue in Steady-State.Submitted to Mathematics of Operation Research, April 2012; revised November 2012. (PDF-769KB)
  8. Huang J., Carmeli B. and Mandelbaum A. Control of Patient Flow in Emergency Departments, or Multiclass Queues with Deadlines and Feedback. Accepted to Operations Research, March 2015.(PDF-1.79MB)

34.   Huang J., Mandelbaum A., Zhang H. and Zhang J. Refined Models for Efficiency-Driven Queues with Applications to Delay Announcement and Staffing. Accepted to OR, July 2017.(PDF-983KB)

35.   Jelenkovic P., Mandelbaum A., and Momcilovic P. Heavy Traffic Limits for Queues with Many Deterministic Servers. QUESTA 47, pp. 53-69, 2004. (Preprint PDF-380KB)(Preprint PS-530KB)(Published PDF-164KB)

  1. Jennings O., Mandelbaum A., Massey W., and Whitt W. Server Staffing to Meet Time-Varying Demand. Management Science, 42:10 (October 1996), pp. 1383-1394. (PDF-720KB)
  2. Khudyakov P., Gorfine M. and Feigin P. Test for Equality of Baseline Hazard Functions for Correlated Survival Data using Frailty Models. Submitted, 2010. (PDF-546KB).
  3. Khudyakov P., Feigin P.D., and Mandelbaum A. Designing a Call Center with an IVR (Interactive Voice Response). QUESTA 2010. (PDF-740KB)
  4. Mandelbaum A., Massey W.A., and Reiman M.Strong Approximations for Markovian Service Networks. Queueing Systems: Theory and Applications (QUESTA), 30, 149-201, November 1998. (PS-1Mb)
  5. Mandelbaum, A. and Massey, W.A., Strong Approximations for Time-dependent Queues, Mathematics of Operations Research, Vol. 20, No. 1, 33-64, 1995. (PDF-910KB)
  6. Mandelbaum A., Massey W.A., Reiman M., and Rider B. Time Varying Multiserver Queues with Abandonment and Retrials. ITC-16, Teletraffic Engineering in a Competitive World, Editors P.Key and D.Smith, Elsevier, 355-364, 1999. (PS-270KB)
  7. Mandelbaum A., Massey W.A., Reiman M., Rider B., and Stolyar A. Queue Lengths and Waiting Times for Multiserver Queues with Abandonment and Retrials. Selected Proceedings of the Fifth INFORMS Telecommunications Conference, 2000. (PS-430KB)
  8. Mandelbaum A., Massey W.A., Reiman M., and Stolyar A. Waiting Time Asymptotics for Time Varying Multiserver Queues with Abandonment and Retrials. Allerton Conference Proceedings, 1999. (PDF - 1.54Mb)  (PS-540KB)
  9. Mandelbaum, A. and Momcilovic P. Queues with Many Servers: The Virtual Waiting-Time Process in the QED Regime. Mathematics of Operations Research, Vol. 33, No. 3, August 2008, pp. 561–586 (PDF-385KB)
  10. Mandelbaum, A. and Momcilovic P. Queues with Many Servers and Impatient Customers. Mathematics of Operation Research, February 2012 (PDF-366KB)
  11. Mandelbaum A. and Momcilovic P. Personalized Queues: The Customer View, via a Fluid Model of Serving Least-Patient First. Queueing Systems, pp. 1-31, June 2017 (PDF-815KB)
  12. Mandelbaum A. and Momcilovic P. Performance-Based Routing. Accepted to OR Letters, Full Version, July 2014. (PDF-328KB)
  13. Mandelbaum A., Momcilovic P., Trichakis N., Kadish S., Leib R., and Bunnell C.A.Data-Driven Appointment-Scheduling Under Uncertainty: The Case of an Infusion Unit in a Cancer Center.Submitted to Management Science, May 2017 (PDF-735KB).
  14. Mandelbaum A., Momcilovic P., and Tseytlin Y. On Fair Routing From Emergency Departments to Hospital Wards: QED Queues with Heterogeneous Servers. Management Science, 58(7), pp. 1273-1291, July 2012. (Preprint PDF-717KB)(Published PDF-403KB). Online Appendices for the Management Science paper (PDF-322KB).
  15. Mandelbaum, A. and Pats, G. State-Dependent Queues: Approximations and Applications, Stochastic Networks, IMA Volume 71, Editors F. Kelly and R.J. Williams, Springer-Verlag, 239-282, 1995. (PDF-2.6MB)
  16. Mandelbaum A, RamananK  Directional Derivatives of Oblique Reflection Maps. Mathematics of Operations Research, Vol. 35, No. 3,, August 2010. (PDF-728KB)
  17. Mandelbaum, A. and Reiman M. On Pooling in Queueing Networks. Management Science, 44, 971-981, July 1998. (PDF-180KB) (PS-245KB)
  18. Mandelbaum, A., Sakov A. and Zeltyn S. Empirical Analysis of a Call Center. Technical Report, 2000. (PDF-1.4MB)  (PS-3.2MB)
  19. Mandelbaum A. and Shimkin N. A Model for Rational Abandonments from Invisible Queues. Queueing Systems: Theory and Applications (QUESTA), 36, 141-173, December 2000. (PDF-315KB)(PS-350KB)
  20. Mandelbaum A. and Stolyar A. Gcm Scheduling of Flexible Servers: Asymptotic Optimality in Heavy Traffic. Allerton summary of the full OR version, 2004. (PDF-185KB)
  21. Mandelbaum A. and Stolyar A. Scheduling Flexible Servers with Convex Delay Costs: Heavy-Traffic Optimality of the Generalized cm-Rule. Operations Research, 52(6), pp. 836-855, 2004. (PDF-255KB)
  22. Mandelbaum A. and Zeltyn S. Service Engineering of Call Centers: Research, Teaching, Practice. IBMSSME conference, October 2006. (PDF-250KB)
  23. Mandelbaum A. and Zeltyn S. Staffing many-server queues with impatient customers: constraint satisfaction in call centers. Operations Research, 57(5), pp. 1189-1205, 2009.(PDF-460KB).  Internet Supplement (PDF-330KB).
  24. Mandelbaum A. and Zeltyn S. Estimating Characteristics of Queueing Networks Using Transactional Data. Queueing Systems: Theory and Applications (QUESTA), 29, 75-127, August 1998.  (PS-1MB)
  25. Mandelbaum A. and Zeltyn S. The Impact of Customers’ Patience on Delay and Abandonment: Some Empirically-Driven Experiments with the M/M/N+G Queue. OR Spectrum, 26 (3), 377-411, 2004. Special Issue on Call Centers. (Black and White PDF - 700KB)(PDF-600KB)
  26. Mandelbaum A. and Zeltyn S. Service Engineering in Action: The Palm/Erlang-A Queue, with Applications to Call Centers. Advances in Services Innovations, pp. 17-48, Spath D., Fähnrich, K.-P. (Eds.), Springer-Verlag, 2007. (PDF- 770KB)
  27. Mandelbaum A. and Zeltyn S. Service Engineering: Data-Based Course Development and Teaching. INFOMRS Transactions on Education, Volume 11, Number 1, 2010; the special issue on "Teaching Service and Retail Operations Management"(2009). (PDF-383KB) Full version (PDF-3.65MB), (link)
  28. Mandelbaum A., Zeltyn S. Data Stories about (Im)Patient Customers in Tele-Queues.To be published in QUESTA, special issue on Queues with Abandonments, January 2013.  (PDF-1.18MB)Reproducing EDA via SEEStat(Doc-1.48MB)
  29. Marmor Y, Golany B, Israelit S and Mandelbaum A.  Designing Patient Flow in Emergency Departments. IIE Transaction on Healthcare Systems Engineering, December 2012.  (PDF-549KB)
  30. Marmor Y.N., and Sinreich D. Emergency Departments' Operations: A Simple and Intuitive Simulation Tool Based  on the Generic Process Approach. July 2004. (PDF-643KB)
  31. Marmor Y.N., and Sinreich D. Emergency department operations: The basis for developing a simulation tool. IIE Transactions (2005) 37, 233–245. (PDF-2.49MB)
  32. Marmor Y.N., Wasserkrug S., Zeltyn S., Mesika Y., Greenshpan O., Carmeli B., Shtub A., and Mandelbaum A. Toward Simulation-Based Real-Time Decision-Support Systems for Emergency Departments. Proceeding of the Winter Simulation Conference. Austin, TX, December, 13-16, 2009 (PDF-904KB)
  33. Mathijsen B.W.J., Janssen A.J.E.M., Van Leeuwaarden J.S.H., Zwart A.P. and Mandelbaum A. Robust Heavy-Traffic Approximations for Service Systems Facing Overdispersed Demand.  Submitted to Operations Research, May 2015. (PDF-658KB).
  34. The OCR Project (IBM, Rambam, Technion). Services Research in Hospitals, or The Multi-Disciplinary Science of Patients Care. Invited to the Journal of Service Research, June 2009, as the winner of the inaugural 2009 Service Science Innovation Partnership Award competition. (PDF-450KB)
  35. Plonsky O., Efrat D., Dorban A., David N., Gologorsky M., Zaied I., Mandelbaum A. and Rafaeli A. Fairness in Patient Routing: Maternity Ward in Rambam Hospital.  Technical Report, Technion, April 2013. (PDF-1.89MB)

72.   Senderovich A., Leemans S.J.J., Harel S., Gal A., Mandelbaum A. and van der Aalst W.M.P. Discovering Queues from Event Logs with Varying Levels of Information. Business Process Management Workshops 2015: 154-166 (PDF-541KB)

73.   Senderovich A., Rogge-Solti A., Gal A., Mendling J. and Mandelbaum A. The ROAD from Sensor Data to Process Instances via Interaction Mining. CAiSE 2016: 257-273 (PDF-612KB)

  1. Senderovich A., Rogge-Solti A., Gal A., Mendling J., Mandelbaum A., Kadish S. and Bunnell C.A. Data-Driven Performance Analysis of Scheduled Processes. Proceedings of the 13th International Conference on Business Process Management (BPM'15), Innsbruck, Austria, September 2015.(PDF-452KB)

75.   Senderovich A., Shleyfman A., Weidlich M., Gal A., Mandelbaum A., Kadish S. and Bunnell C.A. P3-Folder: Optimal Model Simplification for Improving Accuracy in Process Performance Prediction. Accepted to BPM, 2016 (PDF-1.24MB)

  1. Senderovich A., Weidlich M., Gal A. and Mandelbaum A. Queue-Mining – Predicting Delays in Service Processes.  Proceedings of the 26th International Conference on Advanced Information Systems Engineering (CAiSE'14), Thessaloniki, Greece, June 16-20, 2014.(PDF-465KB)
  2. Senderovich A., Weidlich M., Gal A. and Mandelbaum A. Mining Resource – Scheduling Protocols.  Proceedings of the 12th International Conference on Business Process Management (BPM'14), Haifa, Israel, September 7-11, 2014. (Link)
  3. Senderovich A., Weidlich M., Gal A. and Mandelbaum A. Queue Mining for Delay Prediction in Multi-Class Service Processes.  Information Systems, 53, pp. 278-295, October-November 2015. (PDF-781KB)
  4. Senderovich A., Weidlich M., Gal A., Mandelbaum A., Kadish S. and Bunnell C.A. Discovery and Validation of Queueing Networks in Scheduled Processes. Proceedings of the 27th International Conference on Advanced Information Systems Engineering (CAiSE'15), Stockholm, Sweden, June 2015.(PDF-410KB)

80.    Senderovich A., Weidlich M., Yedidsion L., Gal A., Mandelbaum A., Kadish S. and Bunnell C.A. Conformance checking and performance improvement in scheduled processes: A queueing-network perspective. Information Systems, January 2016 (PDF-1.42MB)

  1. Shimkin N. and Mandelbaum A. Rational Abandonments from Tele-Queues: Nonlinear Waiting Costs with Heterogeneous Preferences. QUESTA 47, pp. 117-146, 2004. (Preprint PDF-595KB) (Preprint PS-415KB)(Published PDF-250KB)
  2. Wasserkrug S., Tabu S., Zeltyn S., Gilat D., Lipets V., Feldman Z., and Creating Operational Shift Scheduling for Third Level IT Support: Challenges, Models and Case Study. Int. J. Services Operations and Informatics, Vol. 3, Nos. 3/4, 2008.
  3. Weerasinghe A, Mandelbaum A.  Abandonment vs. Blocking in Many-Server Queues:  Asymptotic Optimality in the QED Regime. Under revision for QUESTA, May 2013. (PDF-533KB)
  4. Yom-Tov G, and Mandelbaum A.  Erlang-R: A Time-Varying Queue with ReEntrant Customers, in Support of Healthcare Staffing. Accepted to Manufacturing & Service Operations Management, November 2013.  (PDF-4.14MB)
  5. Zeltyn S. and Mandelbaum A. Call centers with impatient customers: many-server asymptotics of the M/M/n+G queue. QUESTA, 51 (3/4), 361-402, 2005. (PDF-830 KB).Internet Supplement (PDF-730 KB).
  6. Zeltyn S., Carmeli B., Greenshpan O., Mesika Y., Wasserkrug S., Vortman P., Marmor Y.N., Mandelbaum A., Shtub A., Lauterman T., Schwartz D., Moskovitch K., Tzafrir  S., and Basis  F. Simulation-Based Models of Emergency Departments: Operational, Tactical and Strategic Staffing, Submitted to ACM Transactions on Modeling and Computer Simulation (TOMACS), 2009(PDF-600KB) Internet (PDF-285KB)
  7. Zeltyn S., Marmor Y., Mandelbaum A., Carmeli B., Greenshpan O., Mesika Y., Wasserkrug S., Vortman P., Schwartz D., Moskovitch K., Tzafrir S., Basis F., Shtub A. and Lauterman T.,  Simulation-Based Models of Emergency Departments: Real-Time Control, Operations Planning and Scenario Analysis . ACM Transactions on Modeling and Computer Simulation (TOMACS), 2010. (PDF-460KB)
  8. Zohar E., Mandelbaum A., and Shimkin N. Adaptive Behavior of Impatient Customers in Tele-Queues: Theory and Empirical Support. Management Science, 48(4), 566-583, 2002. (PDF-2.6MB)(Extended version – 452KB)
  9. Zychlinski

Это не имеет отношения к делу. Нуматака выдержал паузу. - А если мистер Беккер найдет ключ. - Мой человек отнимет .

0 thoughts on “Queueing Theory Research Papers”

    -->

Leave a Comment

Your email address will not be published. Required fields are marked *