HR job title
- Professor
- Contact Info
- 1 979 458 2356
- Websites
Johnson, Andrew Professor
Positions
- Professor, Industrial and Systems Engineering, College of Engineering
- Faculty Affiliate, Energy Institute, Texas A&M Engineering Experiment Station (TEES)
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.
Research Areas
- Overview
- Publications
- Teaching
- Works By Students
- Background
- Contact
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Overview
Publications
selected publications
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academic article
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Preciado Arreola, J. L., Johnson, A. L., Chen, X. C., & Morita, H.
(2020).
Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method. European Journal of Operational Research.
287(2), 699-711.
-
Kuosmanen, T., & Johnson, A. L.
(2020).
Conditional Yardstick Competition in Energy Regulation. Energy Journal.
41(01), 67-92.
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Preciado Arreola, J. L., Yagi, D., & Johnson, A. L.
(2020).
Insights from machine learning for evaluating production function estimators on manufacturing survey data. Journal of Productivity Analysis.
53(2), 181-225.
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Layer, K., Johnson, A. L., Sickles, R. C., & Ferrier, G. D.
(2020).
Direction selection in stochastic directional distance functions. European Journal of Operational Research.
280(1), 351-364.
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Yagi, D., Chen, Y., Johnson, A. L., & Kuosmanen, T.
(2020).
Shape-Constrained Kernel-Weighted Least Squares: Estimating Production Functions for Chilean Manufacturing Industries. Journal of business & economic statistics.
38(1), 43-54.
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Yagi, D., Chen, Y., Johnson, A. L., & Morita, H.
(2019).
An axiomatic nonparametric production function estimator: Modeling production in Japan's cardboard industry
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Johnson, A. L., & Jiang, D. R.
(2018).
Shape Constraints in Economics and Operations Research. Statistical Science.
33(4), 527-546.
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Hwangbo, H., Johnson, A. L., & Ding, Y. u.
(2018).
Spline model for wake effect analysis: Characteristics of a single wake and its impacts on wind turbine power generation. 50(2), 112-125.
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De Koster, R., Johnson, A. L., & Roy, D.
(2017).
Warehouse design and management. International Journal of Production Research.
55(21), 6327-6330.
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Kuosmanen, T., & Johnson, A.
(2017).
Modeling joint production of multiple outputs in StoNED: Directional distance function approach. European Journal of Operational Research.
262(2), 792-801.
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Hwangbo, H., Johnson, A., & Ding, Y. u.
(2017).
A production economics analysis for quantifying the efficiency of wind turbines. 20(9), 1501-1513.
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Hwangbo, H., Johnson, A. L., & Ding, Y. u.
(2017).
Power Curve Estimation: Functional Estimation Imposing the Regular Ultra Passum Law
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Hong, S., Johnson, A. L., & Peters, B. A.
(2016).
Order batching in a bucket brigade order picking system considering picker blocking. Flexible Services and Manufacturing Journal.
28(3), 425-441.
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Lee, C., & Johnson, A. L.
(2015).
Effective production: measuring of the sales effect using data envelopment analysis. Annals of Operations Research.
235(1), 453-486.
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Hong, S., Johnson, A. L., & Peters, B. A.
(2015).
Quantifying picker blocking in a bucket brigade order picking system. International Journal of Production Economics.
170, 862-873.
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Pope, B., Deshmukh, A., Johnson, A., & Rohack, J. J.
(2015).
Modeling dependence in health behaviors. IIE Transactions.
47(10), 1112-1121.
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Oh, H., Johnson, A. L., Lucianetti, L., & Youn, S.
(2015).
The Effect of Performance Measurement Systems on Productive Performance: An Empirical Study of Italian Manufacturing Firms
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Arreola, J., & Johnson, A. L.
(2015).
A Birth‐Death Markov Chain Monte Carlo Method to Estimate the Number of States in a State‐Contingent Production Frontier Model. American Journal of Agricultural Economics.
97(4), 1267-1285.
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Kuosmanen, T., Johnson, A. L., & Parmeter, C.
(2015).
Orthogonality Conditions for Identification of Joint Production Technologies: Axiomatic Nonparametric Approach to the Estimation of Stochastic Distance Functions
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Lee, C., & Johnson, A. L.
(2015).
Measuring Efficiency in Imperfectly Competitive Markets: An Example of Rational Inefficiency. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS.
164(2), 702-722.
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Mekaroonreung, M., & Johnson, A. L.
(2014).
A nonparametric method to estimate a technical change effect on marginal abatement costs of U.S. coal power plants. Energy Economics.
46, 45-55.
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Johnson, A. L., & Ruggiero, J.
(2014).
Nonparametric measurement of productivity and efficiency in education. Annals of Operations Research.
221(1), 197-210.
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Lee, J., Kim, B., Johnson, A. L., & Lee, K.
(2014).
The nuclear medicine production and delivery problem. European Journal of Operational Research.
236(2), 461-472.
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Preciado Arreola, J., & Johnson, A. L.
(2014).
A Birth-Death Markov Chain Monte Carlo Method to Estimate the Number of States in a State-Contingent Production Frontier Model
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Pope, B., Deshmukh, A., Johnson, A., & Rohack, J.
(2014).
Multilateral contracting and prevention. Health Economics.
23(4), 397-409.
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Lee, C., & Johnson, A. L.
(2014).
Proactive data envelopment analysis: Effective production and capacity expansion in stochastic environments. European Journal of Operational Research.
232(3), 537-548.
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Fallah-Fini, S., Triantis, K., & Johnson, A. L.
(2014).
Reviewing the literature on non-parametric dynamic efficiency measurement: state-of-the-art. Journal of Productivity Analysis.
41(1), 51-67.
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Hong, S., Johnson, A. L., & Peters, B. A.
(2013).
A note on picker blocking models in a parallel-aisle order picking system. IIE Transactions.
45(12), 1345-1355.
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Lee, J., kim, B., & Johnson, A. L.
(2013).
A two-dimensional bin packing problem with size changeable items for the production of wind turbine flanges in the open die forging industry. IIE Transactions.
45(12), 1332-1344.
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Pope, B., & Johnson, A.
(2013).
Returns to scope: a metric for production synergies demonstrated for hospital production. Journal of Productivity Analysis.
40(2), 239-250.
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Lee, C., Johnson, A. L., Moreno-Centeno, E., & Kuosmanen, T.
(2013).
A more efficient algorithm for Convex Nonparametric Least Squares. 227(2), 391-400.
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Kim, B., Li, H., & Johnson, A. L.
(2013).
An augmented large neighborhood search method for solving the team orienteering problem. Expert Systems With Applications.
40(8), 3065-3072.
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Hong, S., Johnson, A. L., & Peters, B. A.
(2012).
Batch picking in narrow-aisle order picking systems with consideration for picker blocking. European Journal of Operational Research.
221(3), 557-570.
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Johnson, A. L., & Kuosmanen, T.
(2012).
One-stage and two-stage DEA estimation of the effects of contextual variables. European Journal of Operational Research.
220(2), 559-570.
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Lee, C., & Johnson, A. L.
(2012).
Effectiveness: A Measure of Demand Effect in Productivity Analysis
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Mekaroonreung, M., & Johnson, A. L.
(2012).
Estimating the shadow prices of SO2 and NOx for U.S. coal power plants: A convex nonparametric least squares approach. Energy Economics.
34(3), 723-732.
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Lee, C., & Johnson, A. L.
(2012).
Rational Inefficiency: A Nash-Cournot Oligopolistic Market Equilibrium
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Hong, S., Johnson, A. L., & Peters, B. A.
(2012).
Large-scale order batching in parallel-aisle picking systems. IIE Transactions.
44(2), 88-106.
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Lee, C., & Johnson, A. L.
(2012).
Two-dimensional efficiency decomposition to measure the demand effect in productivity analysis. European Journal of Operational Research.
216(3), 584-593.
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Mekaroonreung, M., & Johnson, A. L.
(2012).
Imposing Conservation of Mass in Abatement Function Estimates: NOx Generation in Coal-Fired Power Plants
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Nataraja, N. R., & Johnson, A. L.
(2011).
Guidelines for using variable selection techniques in data envelopment analysis. European Journal of Operational Research.
215(3), 662-669.
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Collier, T., Johnson, A. L., & Ruggiero, J.
(2011).
Measuring Technical Efficiency in Sports. Journal of Sports Economics.
12(6), 579-598.
-
Johnson, A. L., & Kuosmanen, T.
(2011).
One-stage estimation of the effects of operational conditions and practices on productive performance: asymptotically normal and efficient, root-n consistent StoNEZD method. Journal of Productivity Analysis.
36(2), 219-230.
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Hong, S., Johnson, A. L., Carlo, H. J., Nazzal, D., & Jimenez, J. A.
(2011).
Optimising the location of crossovers in conveyor-based automated material handling systems in semiconductor wafer fabs. International Journal of Production Research.
49(20), 6199-6226.
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Lee, C., & Johnson, A. L.
(2011).
A decomposition of productivity change in the semiconductor manufacturing industry. International Journal of Production Research.
49(16), 4761-4785.
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Johnson, A. L., & Ruggiero, J.
(2011).
Allocative efficiency measurement with endogenous prices. Economics Letters.
111(1), 81-83.
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Pope, B., & Johnson, A. L.
(2011).
Scope Properties: Nonparametric Assessment, Policy Insights and Functional Estimation
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Collier, T., Johnson, A. L., & Ruggiero, J.
(2011).
Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis. European Journal of Operational Research.
208(2), 153-160.
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Johnson, A., & McGinnis, L.
(2010).
Performance measurement in the warehousing industry. IIE Transactions.
43(3), 220-230.
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Chen, W., & Johnson, A. L.
(2010).
The dynamics of performance space of Major League Baseball pitchers 1871–2006. Annals of Operations Research.
181(1), 287-302.
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Mekaroonreung, M., & Johnson, A. L.
(2010).
Estimating the efficiency of American petroleum refineries under varying assumptions of the disposability of bad outputs. International Journal of Energy Sector Management.
4(3), 356-398.
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Nazzal, D., Jimenez, J. A., Carlo, H. J., Johnson, A. L., & Lasrado, V.
(2010).
An Analytical Model for Conveyor-Based Material Handling System With Crossovers in Semiconductor Wafer Fabs. IEEE Transactions on Semiconductor Manufacturing.
23(3), 468-476.
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Estelle, S. M., Johnson, A. L., & Ruggiero, J.
(2010).
Three-stage DEA models for incorporating exogenous inputs. Computers & Operations Research.
37(6), 1087-1090.
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Johnson, A., Chen, W., & McGinnis, L. F.
(2010).
Large-scale Internet benchmarking: Technology and application in warehousing operations. Computers in Industry.
61(3), 280-286.
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Chen, W., & Johnson, A. L.
(2010).
A unified model for detecting efficient and inefficient outliers in data envelopment analysis. Computers & Operations Research.
37(2), 417-425.
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Kuosmanen, T., & Johnson, A. L.
(2010).
Data Envelopment Analysis as Nonparametric Least-Squares Regression. Operations Research.
58(1), 149-160.
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Johnson, A. L., & Kuosmanen, T.
(2009).
How Operational Conditions and Practices Affect Productive Performance? Efficient Semi-Parametric One-Stage Estimators
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Johnson, A. L., & McGinnis, L. F.
(2008).
Outlier detection in two-stage semiparametric DEA models. European Journal of Operational Research.
187(2), 629-635.
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Chen, W., & Johnson, A. L.
(2006).
Detecting Efficient and Inefficient Outliers in Data Envelopment Analysis
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Johnson, A. L., & McGinnis, L.
(2006).
An Outlier Detection Methodology with Consideration for an Inefficient Frontier
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Preciado Arreola, J. L., Johnson, A. L., Chen, X. C., & Morita, H.
(2020).
Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method. European Journal of Operational Research.
287(2), 699-711.
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chapter
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Johnson, A. L., & Lee, C.
(2017).
PREDICTIVE EFFICIENCY ANALYSIS. Advances in DEA Theory and Applications.
(pp. 404-418).
John Wiley & Sons, Ltd.
-
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. International Series in Operations Research and Management Science.
International Series in Operations Research & Management Science.
(pp. 191-244).
Springer US.
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Lee, C. Y., & Johnson, A. L.
(2013).
Handbook of Industrial and Systems Engineering. Badiru, A. B. (Eds.),
Handbook of Industrial and Systems Engineering, Second Edition.
(pp. 17-44).
CRC Press.
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Collier, T., Johnson, A. L., & Ruggiero, J.
(2011).
Aggression in Mixed Martial Arts: An Analysis of the Likelihood of Winning a Decision. Violence and Aggression in Sporting Contests.
(pp. 97-109).
Springer New York.
-
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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conference paper
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Johnson, A., Carlo, H. J., Jimenez, J. A., Nazzal, D., & Lasrado, V.
(2009).
A greedy heuristic for locating crossovers in conveyor-based AMHS in wafer fabs. Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference.
1667-1676.
-
Johnson, A. L., & McGinnis, L. F.
(2009).
The hyperbolic-oriented efficiency measure as a remedy to infeasibility of super efficiency models. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY.
1511-1517.
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Johnson, A., Carlo, H. J., Jimenez, J. A., Nazzal, D., Lasrado, V., & IEEE.
(2009).
A GREEDY HEURISTIC FOR LOCATING CROSSOVERS IN CONVEYOR-BASED AMHS IN WAFER FABS. Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference.
1634-+.
-
Nazzal, D., Johnson, A., Carlo, H. J., & Jimenez, J. A.
(2008).
An analytical model for conveyor based AMHS in semiconductor wafer fabs. Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference.
2148-2155.
-
Johnson, A., Carlo, H. J., Jimenez, J. A., Nazzal, D., & Lasrado, V.
(2009).
A greedy heuristic for locating crossovers in conveyor-based AMHS in wafer fabs. Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference.
1667-1676.
Teaching
teaching activities
- ENGR402 Hnr-interdisc Design Ii Instructor
- ISEN302 Econ Anly Engr Project Instructor
- ISEN410 Advanced Engineering Economy Instructor
- ISEN605 Matl Handling Systems Instructor
- ISEN667 Engineering Economy Instructor
- ISEN684 Professional Internship: In-ab Instructor
- ISEN685 Directed Studies Instructor
- ISEN691 Research Instructor
- ISEN692 Professional Study Instructor
Works By Students
chaired theses and dissertations
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Ajith, Adithya (2018-04). Driving Analytics for Improved Road Safety.
-
Crispim Sarmento, Marcella (2016-04). Identification of Benchmark and Investigation of Cost Drivers in Hospital Industry: How Inefficient are U.S. Hospitals?.
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Hong, Soon Do (2011-10). Analysis and Control of Batch Order Picking Processes Considering Picker Blocking.
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Lee, Chia-Yen (2012-07). Demand Effects in Productivity and Efficiency Analysis.
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Mekaroonreung, Maethee (2012-10). Production Economics Modeling and Analysis of Polluting firms: The Production Frontier Approach.
-
Pope, Brandon 1984- (2011-07). Engineering Incentives in Distributed Systems with Healthcare Applications.
-
Preciado Arreola, Jose Luis (2016-05). Functional Estimator Selection Techniques for Production Functions and Frontiers.
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Yagi, Daisuke (2018-08). Theory and Application of Local Weighted Shape Constrained Estimators for Analyzing Census of Manufacturing Data.
Background
education and training
- Ph.D. in Industrial and Systems Engineering, minor in Econometrics, Georgia Institute of Technology - (Atlanta, Georgia, United States) 2006
- M.Sc. in Industrial and Systems Engineering, Georgia Institute of Technology - (Atlanta, Georgia, United States) 2002
- B.Sc. in Industrial and Systems Engineering, minor in Economics and Business, Virginia Tech - (Blacksburg, Virginia, United States) 2001
Contact
first name
- Andrew
has last name
- Johnson
mailing address
-
Texas A&M University
Industrial Engineering
3131 TAMU
College Station, TX 77843-3131
USA
Other
- ajohnson@tamu.edu