World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
21538
World Ranking
3525
National Ranking
1032

Research.com Recognitions

  • 2011 - Member of the National Academy of Engineering For contributions to the theory of optimization under uncertainty.

Overview

John R. Birge is affiliated with the University of Chicago in the United States. Their research spans multiple areas within engineering and business disciplines, with a particular focus on supply chain management, optimization, and financial performance.

They have published extensively in several fields of study, notably:

  • Engineering
  • Business, Management and Accounting

Their work also covers a range of subfields such as:

  • Electrical and Electronic Engineering
  • Management Science and Operations Research
  • Economics and Econometrics
  • Management Information Systems
  • Computer Networks and Communications

John R. Birge's main research topics include:

  • Smart Grid Energy Management
  • Supply Chain and Inventory Management
  • Electric Power System Optimization
  • Consumer Market Behavior and Pricing
  • Optimization and Search Problems
  • Working Capital and Financial Performance
  • Optimal Power Flow Distribution

Their recent publications demonstrate a focus on supply chains and economic impacts, including:

  • "Disruption and Rerouting in Supply Chain Networks," 2022, published in Operations Research
  • "Controlling Epidemic Spread: Reducing Economic Losses with Targeted Closures," 2020, published in SSRN Electronic Journal

They also have notable coauthors, reflecting ongoing collaborations in their field. Frequent collaborators include:

  • Zuguang Gao
  • Khaled Alshehri
  • Volodymyr Babich
  • Şenay Ağca
  • N. Bora Keskin

The venues where John R. Birge has frequently published are:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Operations Research
  • Production and Operations Management
  • Management Science

In addition to journal articles, John R. Birge has contributed to scholarly books. One such publication is "Innovative Technology at the Interface of Finance and Operations," published by Springer International Publishing in 2022.

John R. Birge has been recognized as a member of the National Academy of Engineering since 2011, awarded for contributions to the theory of optimization under uncertainty.

Best Publications

  • Introduction to Stochastic Programming

    John R. Birge;Franois Louveaux

  • Decomposition and Partitioning Methods for Multistage Stochastic Linear Programs

    John R. Birge

  • A stochastic model for the unit commitment problem

    S. Takriti;J.R. Birge;E. Long

  • A multicut algorithm for two-stage stochastic linear programs

    John R. Birge;François V. Louveaux

  • Introduction to Stochastic programming (2nd edition), Springer verlag, New York

    John Birge;François Louveaux

  • Trade Credit, Risk Sharing, and Inventory Financing Portfolios

    S. Alex Yang;John R. Birge

  • The value of the stochastic solution in stochastic linear programs with fixed recourse

    John R. Birge

  • Designing approximation schemes for stochastic optimization problems, in particular for stochastic programs with recourse

    John R. Birge;Roger J.-B. Wets

  • Matchup Scheduling with Multiple Resources, Release Dates and Disruptions

    James C. Bean;John R. Birge;John Mittenthal;Charles E. Noon

  • State-of-the-Art-Survey—Stochastic Programming: Computation and Applications

    John R. Birge

  • A Stochastic Programming Approach to the Airline Crew Scheduling Problem

    Joyce W. Yen;John R. Birge

  • Flexible Operation of Batteries in Power System Scheduling With Renewable Energy

    Nan Li;Canan Uckun;Emil M. Constantinescu;John R. Birge

  • Joint Production and Financing Decisions: Modeling and Analysis

    Xiaodong Xu;John R. Birge

  • Option Methods for Incorporating Risk into Linear Capacity Planning Models

    John R. Birge

  • The Supply Chain Effects of Bankruptcy

    S. Alex Yang;John R. Birge;Rodney P. Parker

  • A Standard Input Format for Multiperiod Stochastic Linear Programs

    J.R. Birge;M.A.H. Dempster;H.I. Gassmann;E. Gunn

  • Using integer programming to refine Lagrangian-based unit commitment solutions

    S. Takriti;J.R. Birge

  • Computing block-angular Karmarkar projections with applications to stochastic programming

    John R. Birge;Liqum Qi

  • Single‐machine scheduling subject to stochastic breakdowns

    J. Birge;J. B. G. Frenk;J. Mittenthal;A. H. G. Rinnooy Kan

  • Convergence properties of two-stage stochastic programming

    L. Dai;C. H. Chen;J. R. Birge

Frequent Co-Authors

Desheng Dash Wu
Desheng Dash Wu Chinese Academy of Sciences
Liqun Qi
Liqun Qi Hong Kong Polytechnic University
Roger J.-B. Wets
Roger J.-B. Wets University of California, Davis
David L. Olson
David L. Olson University of Nebraska–Lincoln
Andrew A. Chien
Andrew A. Chien University of Chicago
Victor M. Zavala
Victor M. Zavala University of Wisconsin–Madison
Stein W. Wallace
Stein W. Wallace Norwegian School of Economics
Mihai Anitescu
Mihai Anitescu Argonne National Laboratory
Izak Duenyas
Izak Duenyas University of Michigan–Ann Arbor

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