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307 results on '"Mandelbaum, Avishai"'

1. Self-reporting and screening: Data with current-status and censored observations

Author

Yefenof, Jonathan, Goldberg, Yair, Wiler, Jennifer, Mandelbaum, Avishai, and Ritov, Ya'acov

Subjects
Mathematics - Statistics Theory, Statistics - Applications
Abstract

We consider survival data that combine three types of observations: uncensored, right-censored, and left-censored. Such data arises from screening a medical condition, in situations where self-detection arises naturally. Our goal is to estimate the failure-time distribution, based on these three observation types. We propose a novel methodology for distribution estimation using both parametric and nonparametric techniques. We then evaluate the performance of these estimators via simulated data. Finally, as a case study, we estimate the patience of patients who arrive at an emergency department and wait for treatment. Three categories of patients are observed: those who leave the system and announce it, and thus their patience time is observed; those who get service and thus their patience time is right-censored by the waiting time; and those who leave the system without announcing it. For the third category, the patients' absence is revealed only when they are called to service, which is after they have already left; formally, their patience time is left-censored. Other applications of our proposed methodology are discussed.

Published
2018

2. Frontiers in Operations: Waiting Experience in Open-Shop Service Networks: Improvements via Flow Analytics and Automation.

Author

Chen, Manlu, Baron, Opher, Mandelbaum, Avishai, Wang, Jianfu, Yom-Tov, Galit B., and Arber, Nadir

Subjects
OPERATIONS management, CUSTOMER experience, QUALITY of service, TECHNOLOGICAL innovations, ROUTING systems, CONSUMERS
Abstract

Problem definition: We study open-shop service networks where customers go through multiple services. We were motivated by a partnering health screening clinic, where customers are routed by a dispatcher and operational performance is measured at two levels: micro-level, via waits for individual services, and macro-level, via overall wait. Both measures reflect customer experience and could support its management. Our analysis revealed that waits were long and increased along the service process. Such long waits give rise to negative waiting experience and the increasing shape is detrimental as it is known to create perceived waits that are even longer. Our goal is hence to analyze strategies that shape and improve customers' perceived experience. Methodology/results: Analytically, we use a stylized two-station open-shop network to show that prioritizing advanced customers, jointly with pooling (virtual) queues, can improve both macro- and micro-level performance. We validate these findings with a simulation model, calibrated with our clinic's data. Practically, we find that an automated routing system (ARS), recently implemented in the clinic, had a negligible impact on overall wait—It simply redistributed waiting among wait-for-routing and wait-for-service. However, ARS renders applicable sophisticated priority and routing policies (that were infeasible under the manual routing practice), specifically the ones arising from the present research. Managerial implications: Our study amplifies performance benefits of accounting for individual customers' system status in addition to station-level load information. We offer insights into the implementation of new technologies: Firms better plan for fundamental changes in their operation rather than harness new technology to their existing operation, which may be suboptimal due to past technical limitations. History: This paper has been accepted in the Manufacturing & Service Operations Management Frontiers in Operations Initiative. Funding: M. Chen acknowledges the support from the National Natural Science Foundation of China [Grant 72301280]. O. Baron acknowledges the support from the Natural Science and Engineering Research Council of Canada. J. Wang acknowledges the support from the City University of Hong Kong [Grant 11505421]. A. Mandelbaum is partially supported by the Israel Science Foundation [Grant 491/22]. Supplemental Material: The online appendices are available at https://doi.org/10.1287/msom.2022.0590. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Workload forecasting for a call center: Methodology and a case study

Author

Aldor-Noiman, Sivan, Feigin, Paul D., and Mandelbaum, Avishai

Subjects
Statistics - Applications
Abstract

Today's call center managers face multiple operational decision-making tasks. One of the most common is determining the weekly staffing levels to ensure customer satisfaction and meeting their needs while minimizing service costs. An initial step for producing the weekly schedule is forecasting the future system loads which involves predicting both arrival counts and average service times. We introduce an arrival count model which is based on a mixed Poisson process approach. The model is applied to data from an Israeli Telecom company call center. In our model, we also consider the effect of events such as billing on the arrival process and we demonstrate how to incorporate them as exogenous variables in the model. After obtaining the forecasted system load, in large call centers, a manager can choose to apply the QED (Quality-Efficiency Driven) regime's "square-root staffing" rule in order to balance the offered-load per server with the quality of service. Implementing this staffing rule requires that the forecasted values of the arrival counts and average service times maintain certain levels of precision. We develop different goodness of fit criteria that help determine our model's practical performance under the QED regime. These show that during most hours of the day the model can reach desired precision levels., Comment: Published in at http://dx.doi.org/10.1214/09-AOAS255 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Published
2010
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7. The Best Linear Unbiased Estimator for Continuation of a Function

Author

Goldberg, Yair, Ritov, Ya'acov, and Mandelbaum, Avishai

Subjects
Statistics - Applications
Abstract

We show how to construct the best linear unbiased predictor (BLUP) for the continuation of a curve in a spline-function model. We assume that the entire curve is drawn from some smooth random process and that the curve is given up to some cut point. We demonstrate how to compute the BLUP efficiently. Confidence bands for the BLUP are discussed. Finally, we apply the proposed BLUP to real-world call center data. Specifically, we forecast the continuation of both the call arrival counts and the workload process at the call center of a commercial bank.

Published
2010

10. Discovering Queues from Event Logs with Varying Levels of Information

Author

Senderovich, Arik, Leemans, Sander J. J., Harel, Shahar, Gal, Avigdor, Mandelbaum, Avishai, van der Aalst, Wil M. P., van der Aalst, Wil M.P., Series editor, Mylopoulos, John, Series editor, Rosemann, Michael, Series editor, Shaw, Michael J., Series editor, Szyperski, Clemens, Series editor, Reichert, Manfred, editor, and Reijers, Hajo A., editor

Published
2016
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11. P-Folder: Optimal Model Simplification for Improving Accuracy in Process Performance Prediction

Author

Senderovich, Arik, Shleyfman, Alexander, Weidlich, Matthias, Gal, Avigdor, Mandelbaum, Avishai, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, La Rosa, Marcello, editor, Loos, Peter, editor, and Pastor, Oscar, editor

Published
2016
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12. The ROAD from Sensor Data to Process Instances via Interaction Mining

Author

Senderovich, Arik, Rogge-Solti, Andreas, Gal, Avigdor, Mendling, Jan, Mandelbaum, Avishai, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Nurcan, Selmin, editor, Soffer, Pnina, editor, Bajec, Marko, editor, and Eder, Johann, editor

Published
2016
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17. Data-Driven Performance Analysis of Scheduled Processes

Author

Senderovich, Arik, Rogge-Solti, Andreas, Gal, Avigdor, Mendling, Jan, Mandelbaum, Avishai, Kadish, Sarah, Bunnell, Craig A., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Motahari-Nezhad, Hamid Reza, editor, Recker, Jan, editor, and Weidlich, Matthias, editor

Published
2015
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18. Discovery and Validation of Queueing Networks in Scheduled Processes

Author

Senderovich, Arik, Weidlich, Matthias, Gal, Avigdor, Mandelbaum, Avishai, Kadish, Sarah, Bunnell, Craig A., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Zdravkovic, Jelena, editor, Kirikova, Marite, editor, and Johannesson, Paul, editor

Published
2015
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22. Mining Resource Scheduling Protocols

Author

Senderovich, Arik, Weidlich, Matthias, Gal, Avigdor, Mandelbaum, Avishai, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Sadiq, Shazia, editor, Soffer, Pnina, editor, and Völzer, Hagen, editor

Published
2014
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23. Queue Mining – Predicting Delays in Service Processes

Author

Senderovich, Arik, Weidlich, Matthias, Gal, Avigdor, Mandelbaum, Avishai, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Jarke, Matthias, editor, Mylopoulos, John, editor, Quix, Christoph, editor, Rolland, Colette, editor, Manolopoulos, Yannis, editor, Mouratidis, Haralambos, editor, and Horkoff, Jennifer, editor

Published
2014
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27. InEDvance: Advanced IT in Support of Emergency Department Management

Author

Wasserkrug, Segev, Greenshpan, Ohad, Marmor, Yariv N., Carmeli, Boaz, Vortman, Pnina, Basis, Fuad, Schwartz, Dagan, Mandelbaum, Avishai, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Feldman, Yishai A., editor, Kraft, Donald, editor, and Kuflik, Tsvi, editor

Published
2009
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31. Preface to the Special Issue on Behavioral Queueing Science: The Need for a Multidisciplinary Approach.

Author

Ingolfsson, Armann, Mandelbaum, Avishai, Schultz, Kenneth, and Yom-Tov, Galit B.

Subjects
BEHAVIORAL sciences, OPERATIONS research, FIELD research, HUMAN behavior
Abstract

Preface to the Special Issue on Behavioral Queueing Science: The Need for a Multidisciplinary Approach Modern service systems are economically important but operationally complex. In "Preface to the Special Issue on Behavioral Queueing Science: The Need for a Multidisciplinary Approach," Ingolfsson, Mandelbaum, Schultz, and Yom-Tov discuss how this special issue advances the scientific study of queues in services systems by acknowledging the central role of human behavior. Behavioral queueing science requires a multidisciplinary approach, using tools that include mathematical modelling, lab experiments and field studies. Each discipline has strengths and weaknesses, but together they have complementing goals, and jointly they give rise to a scientific paradigm for behavioral queues. Cross-disciplinary work is challenging but necessary. The eleven papers in our special issue show how this can be done successfully while setting an example for future work. History: This paper has been accepted for the Operations Research Special Issue on Behavioral Queueing Science. [ABSTRACT FROM AUTHOR]

Published
2023
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45. Erlang-R: a time-varying queue with reentrant customers, in support of healthcare staffing

Author

Yom-Tov, Galit B. and Mandelbaum, Avishai

Subjects
Radiology -- Analysis, Health care industry -- Analysis, Medical personnel -- Analysis, Radiology, Medical -- Analysis, Health care industry, Business
Abstract

We analyze a queueing model that we call Erlang-R, where the 'R' stands for reentrant customers. Erlang-R accommodates customers who return to service several times during their sojourn within the [...]

Published
2014
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