Telephone call centers: Tutorial, review, and research prospects N Gans, G Koole, A Mandelbaum Manufacturing & Service Operations Management 5 (2), 79-141, 2003 | 2156 | 2003 |
Statistical analysis of a telephone call center: A queueing-science perspective L Brown, N Gans, A Mandelbaum, A Sakov, H Shen, S Zeltyn, L Zhao Journal of the American statistical association 100 (469), 36-50, 2005 | 1172 | 2005 |
Designing a call center with impatient customers O Garnett, A Mandelbaum, M Reiman Manufacturing & Service Operations Management 4 (3), 208-227, 2002 | 819 | 2002 |
Queueing models of call centers: An introduction G Koole, A Mandelbaum Annals of Operations Research 113, 41-59, 2002 | 577 | 2002 |
Dimensioning large call centers S Borst, A Mandelbaum, MI Reiman Operations research 52 (1), 17-34, 2004 | 514 | 2004 |
From project to process management: An empirically-based framework for analyzing product development time PS Adler, A Mandelbaum, V Nguyen, E Schwerer Management science 41 (3), 458-484, 1995 | 449 | 1995 |
Scheduling flexible servers with convex delay costs: Heavy-traffic optimality of the generalized cμ-rule A Mandelbaum, AL Stolyar Operations Research 52 (6), 836-855, 2004 | 416 | 2004 |
On patient flow in hospitals: A data-based queueing-science perspective M Armony, S Israelit, A Mandelbaum, YN Marmor, Y Tseytlin, GB Yom-Tov Stochastic systems 5 (1), 146-194, 2015 | 398 | 2015 |
Strong approximations for Markovian service networks A Mandelbaum, WA Massey, MI Reiman Queueing Systems 30, 149-201, 1998 | 377 | 1998 |
Server staffing to meet time-varying demand OB Jennings, A Mandelbaum, WA Massey, W Whitt Management Science 42 (10), 1383-1394, 1996 | 368 | 1996 |
Call Centers with Impatient Customers: Many-Server Asymptotics of the M/M/n + G Queue S Zeltyn, A Mandelbaum Queueing Systems 51 (3), 361-402, 2005 | 347 | 2005 |
Discrete flow networks: Bottleneck analysis and fluid approximations H Chen, A Mandelbaum Mathematics of operations research 16 (2), 408-446, 1991 | 317 | 1991 |
Staffing of time-varying queues to achieve time-stable performance Z Feldman, A Mandelbaum, WA Massey, W Whitt Management Science 54 (2), 324-338, 2008 | 299 | 2008 |
Getting the most out of your product development process PS Adler, A Mandelbaum, V Nguyen, E Schwerer Harvard business review 74 (2), 134-&, 1996 | 283 | 1996 |
Erlang-R: A time-varying queue with reentrant customers, in support of healthcare staffing GB Yom-Tov, A Mandelbaum Manufacturing & Service Operations Management 16 (2), 283-299, 2014 | 231* | 2014 |
Empirical evaluation of a queueing network model for semiconductor wafer fabrication H Chen, JM Harrison, A Mandelbaum, A Van Ackere, LM Wein Operations Research 36 (2), 202-215, 1988 | 230 | 1988 |
Adaptive behavior of impatient customers in tele-queues: Theory and empirical support E Zohar, A Mandelbaum, N Shimkin Management Science 48 (4), 566-583, 2002 | 226 | 2002 |
Staffing many-server queues with impatient customers: Constraint satisfaction in call centers A Mandelbaum, S Zeltyn Operations research 57 (5), 1189-1205, 2009 | 222 | 2009 |
Symmetric statistics, Poisson point processes, and multiple Wiener integrals EB Dynkin, A Mandelbaum The Annals of Statistics, 739-745, 1983 | 206 | 1983 |
Strong approximations for time-dependent queues A Mandelbaum, WA Massey Mathematics of Operations Research 20 (1), 33-64, 1995 | 203 | 1995 |