Larry Seiford Email & Phone Number
@umich.edu
3 phones found area 734
LinkedIn matched
Who is Larry Seiford? Overview
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Larry Seiford is listed as Professor of Industrial and Operations Engineering at U-M Industrial & Operations Engineering (IOE), based in Ann Arbor, Michigan, United States. AeroLeads shows a work email signal at umich.edu, phone signal with area code 734, and a matched LinkedIn profile for Larry Seiford.
Larry Seiford holds Phd from The University Of Texas At Austin.
Email format at U-M Industrial & Operations Engineering (IOE)
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AeroLeads found 2 current-domain work email signals for Larry Seiford. Compare company email patterns before reaching out.
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).
Listed skills include Operations Research, Mathematical Modeling, Statistics, Data Analysis, and 36 others.
Larry Seiford's current company
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Larry Seiford work experience
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Professor Of Industrial And Operations Engineering
CurrentLarry Seiford education
Bachelors
Frequently asked questions about Larry Seiford
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What company does Larry Seiford work for?
Larry Seiford works for U-M Industrial & Operations Engineering (IOE).
What is Larry Seiford's role at U-M Industrial & Operations Engineering (IOE)?
Larry Seiford is listed as Professor of Industrial and Operations Engineering at U-M Industrial & Operations Engineering (IOE).
What is Larry Seiford's email address?
AeroLeads has found 2 work email signals at @umich.edu for Larry Seiford at U-M Industrial & Operations Engineering (IOE).
What is Larry Seiford's phone number?
AeroLeads has found 3 phone signal(s) with area code 734 for Larry Seiford at U-M Industrial & Operations Engineering (IOE).
Where is Larry Seiford based?
Larry Seiford is based in Ann Arbor, Michigan, United States while working with U-M Industrial & Operations Engineering (IOE).
What companies has Larry Seiford worked for?
Larry Seiford has worked for U-M Industrial & Operations Engineering (Ioe).
How can I contact Larry Seiford?
You can use AeroLeads to view verified contact signals for Larry Seiford at U-M Industrial & Operations Engineering (IOE), including work email, phone, and LinkedIn data when available.
What schools did Larry Seiford attend?
Larry Seiford holds Phd from The University Of Texas At Austin.
What skills is Larry Seiford known for?
Larry Seiford is listed with skills including Operations Research, Mathematical Modeling, Statistics, Data Analysis, Simulations, Linear Programming, Data Envelopment Analysis, and Higher Education.
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