World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
37
Citations
8139
World Ranking
2442
National Ranking
1024

Engineering and Technology

D-Index
40
Citations
9969
World Ranking
7169
National Ranking
1951

Overview

David L. Woodruff is affiliated with the University of California, Davis in the United States. Their research is primarily situated within the field of Engineering, with a focus on Management Science and Operations Research, Electrical and Electronic Engineering, Economics and Econometrics, Control and Systems Engineering, and Industrial and Manufacturing Engineering.

Their contributions span several interconnected topics including:

  • Risk and Portfolio Optimization
  • Optimization and Mathematical Programming
  • Advanced Optimization Algorithms Research
  • Supply Chain Resilience and Risk Management
  • Economic theories and models
  • Electric Power System Optimization
  • Energy Load and Power Forecasting

Recent publications authored or coauthored by Woodruff include:

  • Cell2Fire: A Cell-Based Forest Fire Growth Model to Support Strategic Landscape Management Planning (2021), published in Frontiers in Forests and Global Change
  • CONWIP Redux: reflections on 30 years of development and implementation (2021), published in International Journal of Production Research
  • Catastrophe insurance and flexible planning for supply chain disruption management: a stochastic simulation case study (2023), published in International Journal of Production Research
  • Assessment of wind power scenario creation methods for stochastic power systems operations (2020), published in Applied Energy
  • A parallel hub-and-spoke system for large-scale scenario-based optimization under uncertainty (2023), published in Mathematical Programming Computation

Woodruff has frequently collaborated with a number of other researchers, including:

  • Jean-Paul Watson
  • John D. Siirola
  • Carl D. Laird
  • Bethany L. Nicholson
  • William E. Hart

Publication venues where Woodruff has multiple contributions include:

  • International Journal of Production Research
  • INFORMS Journal on Computing
  • Frontiers in Forests and Global Change
  • Mathematical Programming Computation
  • Applied Energy

In addition to research articles, Woodruff has authored books in the field of optimization modeling:

  • Pyomo - Optimization Modeling in Python (2021), published by Springer International Publishing
  • Pyomo - Optimization Modeling in Python 3rd Ed. (2022), published by the Office of Scientific and Technical Information

Best Publications

  • CONWIP: a pull alternative to kanban

    Mark L. Spearman;David L. Woodruff;Wallace J. Hopp

  • Pyomo - Optimization Modeling in Python

    William E. Hart;Carl Laird;Jean-Paul Watson;David L. Woodruff

  • Pyomo: modeling and solving mathematical programs in Python

    William E. Hart;Jean-Paul Watson;David L. Woodruff

  • Identification of Outliers in Multivariate Data

    David M. Rocke;David L. Woodruff

  • Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems

    Jean-Paul Watson;David L. Woodruff

  • A class of stochastic programs withdecision dependent random elements

    Tore W. Jonsbråten;Roger J.-B. Wets;David L. Woodruff

  • Progressive hedging and tabu search applied to mixed integer (0,1) multistage stochastic programming

    Arne Løkketangen;David L. Woodruff

  • Introduction to Computational Optimization Models for Production Planning in a Supply Chain

    Stefan Voß;David L. Woodruff

  • Obtaining lower bounds from the progressive hedging algorithm for stochastic mixed-integer programs

    Dinakar Gade;Gabriel Hackebeil;Sarah M. Ryan;Jean-Paul Watson

  • Hashing vectors for tabu search

    David L. Woodruff;Eitan Zemel

  • Computable Robust Estimation of Multivariate Location and Shape in High Dimension Using Compound Estimators

    David L. Woodruff;David M. Rocke

  • PySP: modeling and solving stochastic programs in Python

    Jean-Paul Watson;David L. Woodruff;William E. Hart

  • The stochastic vehicle routing problem, a literature review, part I: models

    Jorge Oyola;Halvard Arntzen;David L. Woodruff

  • Modeling and solving a large-scale generation expansion planning problem under uncertainty

    Shan Jin;Sarah M. Ryan;Jean-Paul Watson;David L. Woodruff

  • Solving the medium newspaper production/distribution problem

    Michael G. Van Buer;David L. Woodruff;Rick T. Olson

  • Production planning with load dependent lead times

    Julia Pahl;Stefan Voß;David L. Woodruff

  • Production planning with load dependent lead times: an update of research

    Julia Pahl;Stefan Voß;David L. Woodruff

  • Toward scalable, parallel progressive hedging for stochastic unit commitment

    Sarah M. Ryan;Roger J.-B Wets;David L. Woodruff;Cesar Silva-Monroy

  • Discrimination models using variance-stabilizing transformation of metabolomic NMR data.

    Parul V. Purohit;David M. Rocke;Mark R. Viant;David L. Woodruff

  • Optimization software class libraries

    Stefan Voß;David L. Woodruff

  • Mathematical Programs with Equilibrium Constraints

    William E. Hart;Carl D. Laird;Jean-Paul Watson;David L. Woodruff

Frequent Co-Authors

Jean-Paul Watson
Jean-Paul Watson Lawrence Livermore National Laboratory
William E. Hart
William E. Hart Sandia National Laboratories
Stefan Voß
Stefan Voß Universität Hamburg
Roger J.-B. Wets
Roger J.-B. Wets University of California, Davis
Teodor Gabriel Crainic
Teodor Gabriel Crainic University of Quebec at Montreal
David L. Martell
David L. Martell University of Toronto
Guido Perboli
Guido Perboli Polytechnic University of Turin
Andrés Weintraub
Andrés Weintraub University of Chile
Carlito B. Lebrilla
Carlito B. Lebrilla University of California, Davis
James D. McCalley
James D. McCalley Iowa State University

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