2011 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
Avishai Mandelbaum mostly deals with Queueing theory, Queue, Operations research, Service and Telephone call. His work carried out in the field of Queueing theory brings together such families of science as Exploratory data analysis, Workload and Patient flow. The study incorporates disciplines such as Markov process, Real-time computing, Simulation, Capacity planning and Server in addition to Queue.
His biological study spans a wide range of topics, including Empirical research, The Internet and Consumer behaviour. Avishai Mandelbaum interconnects Discrete mathematics and Call management in the investigation of issues within Service. He has included themes like Engineering management, Function, Sociotechnical system, Capacity management and Marketing in his Telephone call study.
Avishai Mandelbaum mainly focuses on Queue, Operations research, Queueing theory, Server and Service. Avishai Mandelbaum has researched Queue in several fields, including Discrete mathematics, Real-time computing, Markov process and Simulation. In his research, he performs multidisciplinary study on Operations research and Staffing.
His Queueing theory research integrates issues from Scheduling, Reliability engineering, Data mining and Erlang. His Service study combines topics in areas such as Telephone call and Operations management. His research in Telephone call intersects with topics in Function and Engineering management.
Avishai Mandelbaum spends much of his time researching Service, Queue, Fluid models, Server and Computer network. His Service research is multidisciplinary, incorporating perspectives in Appointment scheduling, Data-driven and Estimation. His Queue study often links to related topics such as Mathematical optimization.
Avishai Mandelbaum combines subjects such as Routing, Queueing theory, Real-time computing and Erlang with his study of Server. His studies deal with areas such as Control and Service system as well as Real-time computing. His research integrates issues of Network performance, Mathematical model, Bottleneck and Topology in his study of Fluid limit.
His primary scientific interests are in Service, Bus network, Queueing theory, Data mining and Operations research. His Service research includes themes of Appointment scheduling, Data-driven and Operations management.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Commissioned Paper: Telephone Call Centers: Tutorial, Review, and Research Prospects
Noah Gans;Ger Koole;Avishai Mandelbaum.
Manufacturing & Service Operations Management (2003)
Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective
Lawrence D Brown;Noah Gans;Avishai Mandelbaum;Anat Sakov.
Journal of the American Statistical Association (2005)
Designing a Call Center with Impatient Customers
O. Garnet;A. Mandelbaum;M. Reiman.
Manufacturing & Service Operations Management (2002)
Queueing models of call centers: An introduction
Ger Koole;Avishai Mandelbaum.
Annals of Operations Research (2002)
Scheduling Flexible Servers with Convex Delay Costs: Heavy-Traffic Optimality of the Generalized cµ-Rule
Avishai Mandelbaum;Alexander L. Stolyar.
Operations Research (2004)
Server Staffing to Meet Time-Varying Demand
Otis B. Jennings;Avishai Mandelbaum;William A. Massey;Ward Whitt.
Management Science (1996)
Call Centers with Impatient Customers: Many-Server Asymptotics of the M/M/n + G Queue
Sergey Zeltyn;Avishai Mandelbaum.
Queueing Systems (2005)
ON PATIENT FLOW IN HOSPITALS: A DATA-BASED QUEUEING-SCIENCE PERSPECTIVE
Mor Armony;Shlomo Israelit;Avishai Mandelbaum;Yariv N. Marmor.
Stochastic Systems (2015)
Staffing of Time-Varying Queues to Achieve Time-Stable Performance
Zohar Feldman;Avishai Mandelbaum;William A. Massey;Ward Whitt.
Management Science (2008)
Adaptive Behavior of Impatient Customers in Tele-Queues: Theory and Empirical Support
Ety Zohar;Avishai Mandelbaum;Nahum Shimkin.
Management Science (2002)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: