Larry Seiford

Larry Seiford Email and Phone Number

Professor of Industrial and Operations Engineering @ U-M Industrial & Operations Engineering (IOE)
Ann Arbor, MI, US
Larry Seiford's Location
Ann Arbor, Michigan, United States, United States
Larry Seiford's Contact Details

Larry Seiford personal email

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About Larry Seiford

Professor Seiford is the Goff Smith Co-Director of the Tauber Institute for the College of Engineering and Professor of Industrial and Operations Engineering. His research interests are primarily in the areas of quality engineering, productivity analysis, process improvement, multiple-criteria decision making, and performance measurement. In addition, he is recognized as one of the world's experts in the methodology of Data Envelopment Analysis. His current research involves the development of benchmarking models for identifying best-practice in manufacturing and service systems. He has written and co-authored four books and over one hundred articles in the areas of quality, productivity, operations management, process improvement, decision analysis, and decision support systems.Professor Seiford is past Editor-in-Chief of OMEGA, the International Journal of Management Science, Associate Editor of the Journal of Productivity Analysis, Associate Editor for Operations Research, and has been or is on the editorial boards of nine scientific journals.Dr. Seiford has received the General Electric Outstanding Teaching Award, the CBA Foundation Award for Research Excellence, and has been a Lily Endowment Teaching Fellow. He was awarded the degree Docteur Honoris Causa from the National Ministry of Education of France in a special recognition ceremony at the Universite de la Mediterranee, Aix-Marseille II in 2000. In 2014 he received the Albert G. Holzman Distinguished Educator Award from the Institute of Industrial Engineers (IIE). He is a Fellow of the Institute of Industrial Engineers (IIE), a Fellow of the American Society for Quality (ASQ), and a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS).

Larry Seiford's Current Company Details
U-M Industrial & Operations Engineering (IOE)

U-M Industrial & Operations Engineering (Ioe)

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Professor of Industrial and Operations Engineering
Ann Arbor, MI, US
Larry Seiford Work Experience Details
  • U-M Industrial & Operations Engineering (Ioe)
    Professor Of Industrial And Operations Engineering
    U-M Industrial & Operations Engineering (Ioe)
    Ann Arbor, Mi, Us
  • U-M Industrial & Operations Engineering (Ioe)
    Professor Of Industrial And Operations Engineering
    U-M Industrial & Operations Engineering (Ioe) Sep 2000 - Present

Larry Seiford Skills

Operations Research Mathematical Modeling Statistics Data Analysis Simulations Linear Programming Data Envelopment Analysis Higher Education Matlab Industrial Engineering Optimization Statistical Modeling University Teaching Data Mining Leadership Operations Management Latex R Machine Learning Applied Mathematics Proposal Writing Algorithms Spss Monte Carlo Simulation Modeling Mathematica Engineering Econometrics Manufacturing Optimizations Quantitative Analytics Numerical Analysis Minitab Design Of Experiments Cplex Predictive Analytics Time Series Analysis Predictive Modeling Program Evaluation Sas

Larry Seiford Education Details

Frequently Asked Questions about Larry Seiford

What company does Larry Seiford work for?

Larry Seiford works for U-M Industrial & Operations Engineering (Ioe)

What is Larry Seiford's role at the current company?

Larry Seiford's current role is Professor of Industrial and Operations Engineering.

What is Larry Seiford's email address?

Larry Seiford's email address is la****@****ich.edu

What is Larry Seiford's direct phone number?

Larry Seiford's direct phone number is +173476*****

What schools did Larry Seiford attend?

Larry Seiford attended The University Of Texas At Austin, The University Of Texas At Austin, University Of St. Thomas (Tx).

What skills is Larry Seiford known for?

Larry Seiford has skills like Operations Research, Mathematical Modeling, Statistics, Data Analysis, Simulations, Linear Programming, Data Envelopment Analysis, Higher Education, Matlab, Industrial Engineering, Optimization, Statistical Modeling.

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