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Johnson, Andrew individual record
Associate Professor
Positions:
overview

Andrew's research interests include productivity and efficiency measurement, benchmarking, and production economics. He is an associate editor of IIE Transactions and a member of IIE, INFORMS, National Eagle Scout Association, and German Club of Virginia Tech. He is a co-organizer for the Spring 2016 NSF Workshop to Redefine Broader Impacts.

education and training
selected publications
Academic Articles23
Chapters6
  • Johnson, A. L., & Lee, C. (2017). PREDICTIVE EFFICIENCY ANALYSIS. Advances in DEA Theory and Applications. (pp. 404-418). John Wiley & Sons, Ltd.
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  • Johnson, A. L. (2017). STOCHASTIC DEA. Advances in DEA Theory and Applications. (pp. 85-99). John Wiley & Sons, Ltd.
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  • Johnson, A. L., & Kuosmanen, T. (2015). An Introduction to CNLS and StoNED Methods for Efficiency Analysis: Economic Insights and Computational Aspects. Benchmarking for Performance Evaluation. (pp. 117-186). Springer India.
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  • Kuosmanen, T., Johnson, A., & Saastamoinen, A. (2015). Stochastic Nonparametric Approach to Efficiency Analysis: A Unified Framework. Data Envelopment Analysis. (pp. 191-244). Springer Us.
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  • Lee, C. Y., & Johnson, A. L. (2013). Operational efficiency. Handbook of Industrial and Systems Engineering, Second Edition. (pp. 17-44). CRC Press.
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Conference Papers4
chaired theses and dissertations
Email
ajohnson@tamu.edu
First Name
Andrew
Last Name
Johnson
mailing address
Texas A&M University; Industrial Engineering; 3131 TAMU
College Station, TX 77843-3131
USA