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Operations

James Allen Professor of Operations

Professor of Operations

Personnel Committee Member

Itai Gurvich

Itai Gurvich is a Professor at the Kellogg School of Management, Northwestern University. He earned a Ph.D. from the Decision, Risk and Operations department at Columbia University’s Graduate School of Business in 2008. After his PhD, he spent 8 years at Kellogg and 4 years at Cornell University’s campus in New York City (Cornell Tech) before returning to Kellogg in 2021.

His research interests include performance analysis and optimization of processing networks and the theory of stochastic-process approximations.

Professor Gurvich teaches courses on operations management and service analytics.

About Itai
Research interests
  • Service systems
  • queueing systems and applied probability
Teaching interests
  • Operations Management
  • PhD, 2008, Decisions, Risk and Operations, Columbia University
    MSc, 2004, Operations Research, Israel Institute of Technology, Summa Cum Laude
    BSc, 2002, Industrial Engineering, Israel Institute of Technology, Summa Cum Laude
  • Professor, Northwestern University, 2021-present
    Professor, Cornell School of Operations Research and Information Engineering and Cornell Tech, 2019-2021
    Associate Professor, Cornell School of Operations Research and Information Engineering and Cornell Tech, 2016
    Associate Professor, Kellogg School of Management, Northwestern University, 2012-present
    Assistant Professor, Kellogg School of Management, Northwestern University, 2009-2012
    Donald P. Jacobs Scholar in Managerial Economics and Decision Sciences, Kellogg School of Management, Northwestern University, 2008-2009
  • “Dynamic resource allocation to heterogeneous requests: Near optimal, computationally?light policies”. Amazon Research Award $90,000., Amazon Research, 2020
    “Dynamic Matching Problems with Application to Kidney Allocation,” National Science Foundation, CMMI- 2010940, $500,000, 2020-2023. (Additional PI, Itai Ashlagi, Stanford U.), National Science Foundation, 2020-2023
    “A Modeling Tool for Assessment of Radiological Workflow Prioritization based on Computer-assisted Diagnosis,” National Science Foundation, DIS-1935809 $150,000, 2021-2022., National Science Foundation, 2021-2022
    “Policy-Robust Processing Networks: Characterization and Design,” National Science Foundation, CMMI-1856511, $480,131, 2019-2022. (Additional PI, John Hasenbein, UT Austin)., National Science Foundation, 2019-2022
    “DRAGONS – Dynamic Resource Allocation Gains for Operational Networked Sharing,” Department of Defense (Army) STTR A18B-T007. (industry lead Intelligent Automation, Inc.). Total Cornell Portion $362,641, 2018-2021., Department of Defense, 2018-2021
    “Taylor Expansion Approximations for Dynamic Programming Problems,” National Science Foundation, CMMI-1662294. $349,971, 2017-2020., National Science Foundation, 2017-2020
    INFORMS Applied Probability Society Best Publication Award, 2021, for the papers Uniformly Bounded Regret in the Multi-Secretary Problem and Online Allocation and Pricing: Constant Regret via Bellman Inequalities, The Applied Probability Society of INFORMS
    Best Publication Award for the paper "Diffusion models and steady-state approximations for exponentially ergodic Markovian queues", INFORMS
    The Operations Research Society of Israel Prize for Excellent Work in OR (in the name of Uriel Rothblum) for the paper: "Excursion-based universal approximations for the Erlang-A queue in steady-state"
    1st place (paper: Hospital Readmissions Reduction Program: A Financial and Operational Analysis), 2014 POMS College of Healthcare Operations Management Best Paper Award
    NU Excellence in Research, Northwestern University
  • Associate Editor, Mathematics of Operations Research, 2017-2020
    Associate Editor, Queueing Systems, 2022
    Department Editor, Operations Research, 2018-2022
    Associate Editor, Management Science, 2014-2017
    Associate Editor, Operations Research, 2011-2018

Service Management and Analytics (OPNS-912-0)

The service sector accounts for approximately 80% of GDP and employment in the US. Worldwide, services account for 65% of GDP and 49% of employment; in the United States the numbers are 77% and 79%, respectively (World Bank 2019). It is therefore imperative to develop efficient and effective operations of services. The management of service operations can require quite different constraints and objectives than manufacturing operations. The course examines both traditional and new approaches for achieving operational competitiveness in service businesses including (online) marketplaces. It covers service processes at both the strategic and operational decision-making levels, with an emphasis on the latter. At the strategic level, we will examine the interaction between firm strategy and service process- design, the drivers of effective service delivery. At the decision-making level we will explore traditional and new approaches for achieving operational competitiveness in service businesses. The first part of the course will include the following topics: the service concept and operations strategy, the design of effective service delivery systems, capacity management, queuing and quality. The second part of the course will include topics in revenue management as well as concepts from the design of marketplaces such as matching, and auctions. Through lectures, case studies and in-class discussion we will study specific examples from healthcare, retail, and hospitality and cove cover conceptual and analytical frameworks for service management and design. We will apply these to various cases, underscoring also the importance (and increased availability) of data in supporting strategic and tactical decisions. The course is intended for students interested in general management, analytical consulting, financial services, or operations.

Field Study (OPNS-498-0)

Field Studies include those opportunities outside of the regular curriculum in which a student is working with an outside company or non-profit organization to address a real-world business challenge for course credit under the oversight of a faculty member.

Operations Management (OPNS-430-0)

1Ys: This course is typically waived through the admissions process or the equivalent course Operations Management (Turbo) (OPNS-438A) was completed during the Summer term. MMMs: This course is equivalent to the MMM core course Designing and Managing Business Processes (OPNS-440) Operations management is the management of business processes--that is, the management of the recurring activities of a firm. This course aims to familiarize students with the problems and issues confronting operations managers, and to provide the language, concepts, insights and tools to deal with these issues to gain competitive advantage through operations. We examine how different business strategies require different business processes and how different operational capabilities allow and support different strategies to gain competitive advantage. A process view of operations is used to analyze different key operational dimensions such as capacity management, cycle time management, supply chain and logistics management, and quality management. Finally, we connect to recent developments such as lean or world-class manufacturing, just-in-time operations, time-based competition and business re-engineering.