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Efficiency Measure for Colleges of Engineering

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Conference

2014 ASEE Annual Conference & Exposition

Location

Indianapolis, Indiana

Publication Date

June 15, 2014

Start Date

June 15, 2014

End Date

June 18, 2014

ISSN

2153-5965

Conference Session

Engineering and Public Policy Division Technical Session 2

Tagged Division

Engineering and Public Policy

Page Count

14

Page Numbers

24.465.1 - 24.465.14

Permanent URL

https://peer.asee.org/20356

Download Count

29

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Paper Authors

biography

Don E. Malzahn Wichita State University

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Don E. Malzahn is Professor of Industrial and Manufacturing Engineering at Wichita State University. He received his BS, MS, and PhD degrees from Oklahoma State University. In his 40-year teaching career, he has taught a wide range of Industrial Engineering courses and currently directs the department’s capstone design experience. His research interests are in systems engineering, decision analysis, and engineering education.

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biography

Lawrence E. Whitman Wichita State University

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Lawrence E. Whitman is Associate Dean of the College of Engineering and a Professor of Industrial & Manufacturing Engineering at Wichita State University. He received his B.S. and M.S. degrees from Oklahoma State University. His Ph.D. is from The University of Texas at Arlington and is in Industrial Engineering. He also has 10 years experience in the aerospace industry. His research interests are in enterprise engineering, engineering education, and lean manufacturing.

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Ali Ghobahi Katamjani Wichita State University

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Abstract

  Efficiency Measure for Colleges of EngineeringAs the need for engineers is increasing, there is a decrease in public funding. Although eachcollege of engineering has a unique mission, there may be exemplar programs that can provideguidance in the continuous improvement (efficiency) of engineering education.A Data Envelopment based model using the number of faculty as the system input and B.S.,M.S., PhD degrees, and research expenditures as measures of output. Data was drawn from theASEE data mining tool over a three year period (2010-2012) for 186 colleges of engineering. Anon-dominated set of 29 colleges was identified, and a regression surface fit to these programs.The numbers of BS and MS degrees have similar impacts on efficiency while the number PhDdegrees relates to research expenditures only at higher levels of BS and MS degree production.This approach can be used by a college to set realistic objectives for improvement through acomparison with the closest non-dominated program.

Malzahn, D. E., & Whitman, L. E., & Ghobahi Katamjani, A. (2014, June), Efficiency Measure for Colleges of Engineering Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. https://peer.asee.org/20356

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