Sridhar R. Tayur


Ford Distinguished Research Chair; Professor of Operations Management

Education:
  • IIT, Madras - B.Tech. - 1986
  • Cornell University - Ph.D. - 1990
Areas of Expertise:
  • Healthcare Operations
  • Lean Manufacturing & Operations Management
  • Enterprise Analytic Software and Inventory Optimization
  • Global Supply Chains
  • Novel Solution Methods for Stochastic Models, Integer Programs and Non-Linear Programs
Teaching and Research Interests:
  • Supply chain management, managing uncertainty and complexity. Incentives and emerging technologies in healthcare, clean energy and digital media. Combating counterfeiters and human traffickers.
Published Papers: 
  • Production Planning with Patterns
    Operations Research.
    (with: M. Mehrotra, Milind Dawande, Srinagesh Gavirneni, M. Demirci)

  • Improved Inventory Targets in the Presence of Limited Historical Demand Data
    Manufacturing and Service Operations Management 13(3), 2011; 297-309.
    (with: Bahar Biller, Alp Akcay)

  • Scheduling of Dynamic In-Game Advertising
    Operations Research.
    (with: J. Turner, Alan Scheller-Wolf)

  • Quantity Discounts Under Demand Uncertainty
    Management Science.
    (with: N. Altintas, Feryal Erhun)

  • Reliable Due Date Seating for a Two Class MTO System
    Operations Research.
    (with: Roman Kapuscinski)

  • Effective Heuristics for Multi-Product Partial Shipment Models
    Operations Research.
    (with: Milind Dawande, Srinagesh Gavirneni)

  • Building Efficient Product Portfolios at John Deere
    Operations Research.
    (with: Alan Scheller-Wolf, Tallys Yunes, Dominic Napolitano)

  • Structural Properties and a Heuristic for a Kanban Controlled Serial Manufacturing System
    Management Science.

  • An Algebraic Geometry Algorithm for Scheduling in Presence of Setups and Correlated Demands
    Mathematical Programming.
    (with: R. Thomas, N. Natraj)

  • A Randomized Algorithm for Optimizing over Certain Convex Sets
    Mathematics of Operations Research.
    (with: Ravi Kannan, J. Mount)

  • Sensitivity Analysis for Base Stock Levels in Multi-Echelon Production-Inventory System
    Management Science.
    (with: P. Glasserman)

  • Managing Stochastic Multi-Product Systems: Models, Measures and Analysis
    Operations Research.
    (with: Ravi Anupindi)

  • A Capacitated Production-Inventory Model with Periodic Demand
    Operations Research.
    (with: Roman Kapuscinski)

  • A New Algebraic Geometry Algorithm for Integer Programming
    Management Science.
    (with: D. Bertsimas, G. Perakis)

  • Managing Broader Product Lines Through Delayed Differentiation Using Vanilla Boxes
    Management Science.
    (with: Jay Swaminathan)

  • Variability Reduction Through Operations Reversal
    Management Science.
    (with: Roman Kapuscinski)

  • Value of Information in Capacitated Supply Chains
    Management Science.
    (with: Roman Kapuscinski, Srinagesh Gavirneni)

  • Development of a Rapid-Response Supply Chain at Caterpillar
    Operations Research, 2000.
    (with: Alan Scheller-Wolf, Uday Rao)

Working Papers: 
Awards:
  • Marschak Colloquium - 2012
  • INFORMS Fellow - 2012
  • Best Paper Award, Healthcare Operations Management (POMS) - 2012
  • Plenary Speaker, MSOM Conference - 2008
  • Plenary Speaker, INFORMS Conference - 2007
  • Carnegie Science Center Award for Innovation in Information Technology - 2007
  • Franz Edelman Competition, Finalist - 2004
  • President of MSOM/INFORMS - 2001-2002
  • INFORMS Case Competition, First Place, for "Time-Shared Jet Aircraft" - 2000
  • EnterPrize Business Case Competition, Top Prize for "SmartOps" - 1999
  • George Leland Bach Award for Excellence in the Classroom - 1999
  • Finalist, Lanchester Prize - 1997
  • Department of Industrial Management Undergraduate Teaching Award - 1993
  • Honorable Mention, Nicholson Prize - 1990
Editorial Boards:
  • Management Science (Associate Editor), 1997-2002
  • Operations Research (Associate Editor), 1997-2010
  • MSOM Journal (Senior Editor), 1996-2005, 2011-
  • IIE Transactions, NRLQ, Optimization and Engineering
Consulting:
  • Microsoft
  • General Electric
  • McKinsey and Co.
  • Caterpillar
  • Deere