Noah Gans

From WFM Labs

Noah Gans is an American professor of Operations, Information, and Decisions at the Wharton School of the University of Pennsylvania. He is best known for co-authoring the landmark 2003 survey paper "Telephone Call Centers: Tutorial, Review, and Research Prospects" with Ger Koole and Avishai Mandelbaum — the paper that defined call center operations research as a recognized academic field.[1] Gans' research on integrated forecasting and scheduling, statistical analysis of call center operations, and service operations management has shaped both the academic study and practical implementation of workforce management.

Overview

Noah Gans occupies a central position in the academic study of contact center operations. The 2003 survey paper he co-authored with Koole and Mandelbaum was not merely a literature review; it was a field-defining document that organized scattered research into a coherent discipline, identified the key problems, and established the research agenda that scholars have pursued for two decades. The paper has been cited thousands of times and remains the standard starting point for anyone entering call center operations research.

Beyond the survey, Gans' own research has made direct contributions to WFM practice, particularly in the statistical analysis of call center data and the integration of forecasting with staffing decisions. His work demonstrates that call center data contains richer information than standard WFM systems extract, and that more sophisticated statistical methods can produce better operational decisions.

Early Life and Education

Gans completed his doctoral studies and joined the Wharton School, where he has spent his career. His research training in operations management and applied statistics positioned him at the intersection of quantitative methods and service operations — the intellectual territory where WFM science lives.

Career

Wharton School, University of Pennsylvania

Gans holds a position in the Operations, Information, and Decisions (OID) Department at the Wharton School, where he coordinates the department's Ph.D. program. He teaches MBA courses on Business Analytics and elective courses on Analytics for Services and Revenue Management.[2]

His teaching reflects his research focus: applying quantitative methods to service operations decisions. The MBA courses he has developed bring operations research concepts — queueing theory, statistical forecasting, optimization — into the business school curriculum in forms that future executives can apply.

Academic Leadership

Gans has served as Department Editor of Stochastic Models and Simulation at Management Science, one of the top journals in operations research. He was also President of the Manufacturing and Service Operations Management Society (MSOM) in 2010–2011.[3] These roles placed him at the center of the academic communities that produce research on service operations, forecasting, and workforce management.

Key Contributions

The 2003 Landmark Survey

"Telephone Call Centers: Tutorial, Review, and Research Prospects" is Gans' most influential work. Published in Manufacturing & Service Operations Management (M&SOM), the 62-page paper accomplished several things simultaneously:

  • Tutorial: It provided a comprehensive explanation of how call centers function — from arrival processes and queueing dynamics to staffing, scheduling, and performance measurement — that was accessible to researchers without call center domain expertise.
  • Review: It surveyed the existing academic literature on call center operations, organizing it into coherent research streams and identifying the connections between them.
  • Research Agenda: It identified open problems and promising research directions that have shaped the field for two decades.

The paper's significance extends beyond its content. By publishing a comprehensive survey in a top journal, Gans, Koole, and Mandelbaum legitimized call center operations as a serious field of academic study. Before the survey, call center research was scattered across journals in operations research, industrial engineering, and telecommunications. After the survey, it was a recognized subdiscipline with a defined scope and active research community.

Statistical Analysis of Call Center Operations

Gans co-authored a landmark study with Lawrence Brown, Mandelbaum, and others: "Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective" (2005), published in the Journal of the American Statistical Association.[4] This paper analyzed a complete operational history of a call center — every call over a full year — and demonstrated that real call center data deviates from standard assumptions in systematic ways. Arrival rates are not Poisson, service times are not exponential, and these deviations have practical consequences for staffing.

This work was foundational because it used real data to challenge the modeling assumptions that WFM systems rely on. The paper showed that more sophisticated statistical models — fitted to actual operational data — could produce better forecasts and staffing decisions than the simplified models embedded in commercial WFM software.

Integrated Forecasting and Scheduling

Gans' research on integrating forecasting with scheduling decisions addresses a fundamental limitation of the traditional WFM workflow. In practice, forecasting and staffing are treated as sequential steps — forecast first, then staff. Gans' work explores the value of treating them jointly, recognizing that forecast uncertainty should influence staffing decisions and that the choice of staffing strategy should influence how forecasts are generated and used.

Customer Routing and Patience

Gans has also contributed to research on customer routing policies and the modeling of customer patience — how long callers will wait before abandoning. This work connects directly to practical WFM challenges: routing decisions affect service levels, which affect abandonment, which affects required staffing. Understanding these interactions is essential for accurate workforce planning.

Legacy and Impact

Gans' legacy is primarily the 2003 survey paper, which stands as the most important single document in call center operations research. The paper created a field by organizing existing knowledge, identifying gaps, and providing the framework that subsequent researchers used to structure their work. It is essentially impossible to do academic research on contact center operations without encountering this paper.

Beyond the survey, Gans' empirical work — particularly the statistical analysis of real call center data — set a standard for data-driven research in WFM. His demonstration that standard modeling assumptions fail in predictable ways has influenced both academic research and commercial software design.

Connection to Workforce Management

Gans' work connects to Forecasting Methods and Operations Research in Workforce Management at a fundamental level. The 2003 survey paper with Ger Koole and Avishai Mandelbaum is the intellectual map of the field — the document that shows how forecasting, staffing, scheduling, routing, and performance measurement fit together as components of a coherent operational system. For WFM practitioners seeking to understand the academic foundations of their work, Gans' survey remains the essential starting point.

His statistical work challenges practitioners to think critically about the assumptions embedded in their WFM tools — are arrival patterns truly Poisson? Are service times truly exponential? When they are not, what are the consequences for staffing accuracy?

Selected Publications

  • Gans, N., Koole, G., and Mandelbaum, A. "Telephone Call Centers: Tutorial, Review, and Research Prospects." Manufacturing & Service Operations Management, 5(2), 2003, pp. 79–141.
  • Brown, L., Gans, N., Mandelbaum, A., et al. "Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective." Journal of the American Statistical Association, 100(469), 2005, pp. 36–50.
  • Gans, N. and Zhou, Y-P. "A Call-Routing Problem with Service-Level Constraints." Operations Research, 51(2), 2003, pp. 255–271.
  • Gans, N., Shen, H., and Zhou, Y-P. "Parametric Forecasting and Stochastic Programming Models for Call Center Workforce Scheduling." Manufacturing & Service Operations Management, 17(4), 2015, pp. 571–588.

See Also

References

  1. ↑ Gans, N., Koole, G., and Mandelbaum, A. "Telephone Call Centers: Tutorial, Review, and Research Prospects." Manufacturing & Service Operations Management, Vol. 5, No. 2, 2003, pp. 79–141.
  2. ↑ "Noah Gans." Wharton Executive Education faculty profile. Retrieved May 2026.
  3. ↑ "Noah Gans." MIT ORC Seminars biography, Spring 2009. Retrieved May 2026.
  4. ↑ Brown, L., Gans, N., Mandelbaum, A., et al. "Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective." Journal of the American Statistical Association, 100(469), 2005, pp. 36–50.
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