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Andrew L. Johnson

Personal Details

First Name:Andrew
Middle Name:L.
Last Name:Johnson
Suffix:
RePEc Short-ID:pjo234
[This author has chosen not to make the email address public]
http://ise.tamu.edu/people/faculty/johnson/default.htm

Affiliation

Texas A&M University, Department of Industrial and Systems Engineering

http://ise.tamu.edu/default.htm
U.S.A., College Station

Research output

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Articles

  1. Hoon Hwangbo & Andrew L. Johnson & Yu Ding, 2018. "Spline model for wake effect analysis: Characteristics of a single wake and its impacts on wind turbine power generation," IISE Transactions, Taylor & Francis Journals, vol. 50(2), pages 112-125, February.
  2. René B. M. De Koster & Andrew L. Johnson & Debjit Roy, 2017. "Warehouse design and management," International Journal of Production Research, Taylor & Francis Journals, vol. 55(21), pages 6327-6330, November.
  3. Kuosmanen, Timo & Johnson, Andrew, 2017. "Modeling joint production of multiple outputs in StoNED: Directional distance function approach," European Journal of Operational Research, Elsevier, vol. 262(2), pages 792-801.
  4. Brandon Pope & Abhijit Deshmukh & Andrew Johnson & J. James Rohack, 2015. "Modeling dependence in health behaviors," IISE Transactions, Taylor & Francis Journals, vol. 47(10), pages 1112-1121, October.
  5. José Luis Preciado Arreola & Andrew L. Johnson, 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, Agricultural and Applied Economics Association, vol. 97(4), pages 1267-1285.
  6. Chia-Yen Lee & Andrew Johnson, 2015. "Effective production: measuring of the sales effect using data envelopment analysis," Annals of Operations Research, Springer, vol. 235(1), pages 453-486, December.
  7. Hong, Soondo & Johnson, Andrew L. & Peters, Brett A., 2015. "Quantifying picker blocking in a bucket brigade order picking system," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 862-873.
  8. Chia -Yen Lee & Andrew L. Johnson, 2015. "Measuring Efficiency in Imperfectly Competitive Markets: An Example of Rational Inefficiency," Journal of Optimization Theory and Applications, Springer, vol. 164(2), pages 702-722, February.
  9. Mekaroonreung, Maethee & Johnson, Andrew L., 2014. "A nonparametric method to estimate a technical change effect on marginal abatement costs of U.S. coal power plants," Energy Economics, Elsevier, vol. 46(C), pages 45-55.
  10. Brandon Pope & Abhijit Deshmukh & Andrew Johnson & James Rohack, 2014. "Multilateral Contracting And Prevention," Health Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 397-409, April.
  11. Andrew Johnson & John Ruggiero, 2014. "Nonparametric measurement of productivity and efficiency in education," Annals of Operations Research, Springer, vol. 221(1), pages 197-210, October.
  12. Lee, Jongsung & Kim, Byung-In & Johnson, Andrew L. & Lee, Kiho, 2014. "The nuclear medicine production and delivery problem," European Journal of Operational Research, Elsevier, vol. 236(2), pages 461-472.
  13. Saeideh Fallah-Fini & Konstantinos Triantis & Andrew Johnson, 2014. "Reviewing the literature on non-parametric dynamic efficiency measurement: state-of-the-art," Journal of Productivity Analysis, Springer, vol. 41(1), pages 51-67, February.
  14. Lee, Chia-Yen & Johnson, Andrew L., 2014. "Proactive data envelopment analysis: Effective production and capacity expansion in stochastic environments," European Journal of Operational Research, Elsevier, vol. 232(3), pages 537-548.
  15. Brandon Pope & Andrew Johnson, 2013. "Returns to scope: a metric for production synergies demonstrated for hospital production," Journal of Productivity Analysis, Springer, vol. 40(2), pages 239-250, October.
  16. Jongsung Lee & Byung-in kim & Andrew Johnson, 2013. "A two-dimensional bin packing problem with size changeable items for the production of wind turbine flanges in the open die forging industry," IISE Transactions, Taylor & Francis Journals, vol. 45(12), pages 1332-1344.
  17. Soondo Hong & Andrew Johnson & Brett Peters, 2013. "A note on picker blocking models in a parallel-aisle order picking system," IISE Transactions, Taylor & Francis Journals, vol. 45(12), pages 1345-1355.
  18. Lee, Chia-Yen & Johnson, Andrew L. & Moreno-Centeno, Erick & Kuosmanen, Timo, 2013. "A more efficient algorithm for Convex Nonparametric Least Squares," European Journal of Operational Research, Elsevier, vol. 227(2), pages 391-400.
  19. Lee, Chia-Yen & Johnson, Andrew L., 2012. "Two-dimensional efficiency decomposition to measure the demand effect in productivity analysis," European Journal of Operational Research, Elsevier, vol. 216(3), pages 584-593.
  20. Hong, Soondo & Johnson, Andrew L. & Peters, Brett A., 2012. "Batch picking in narrow-aisle order picking systems with consideration for picker blocking," European Journal of Operational Research, Elsevier, vol. 221(3), pages 557-570.
  21. Soondo Hong & Andrew Johnson & Brett Peters, 2012. "Large-scale order batching in parallel-aisle picking systems," IISE Transactions, Taylor & Francis Journals, vol. 44(2), pages 88-106.
  22. Mekaroonreung, Maethee & Johnson, Andrew L., 2012. "Estimating the shadow prices of SO2 and NOx for U.S. coal power plants: A convex nonparametric least squares approach," Energy Economics, Elsevier, vol. 34(3), pages 723-732.
  23. Johnson, Andrew L. & Kuosmanen, Timo, 2012. "One-stage and two-stage DEA estimation of the effects of contextual variables," European Journal of Operational Research, Elsevier, vol. 220(2), pages 559-570.
  24. Nataraja, Niranjan R. & Johnson, Andrew L., 2011. "Guidelines for using variable selection techniques in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 215(3), pages 662-669, December.
  25. Andrew Johnson & Timo Kuosmanen, 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, Springer, vol. 36(2), pages 219-230, October.
  26. Trevor Collier & Andrew L. Johnson & John Ruggiero, 2011. "Measuring Technical Efficiency in Sports," Journal of Sports Economics, , vol. 12(6), pages 579-598, December.
  27. Collier, Trevor & Johnson, Andrew L. & Ruggiero, John, 2011. "Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis," European Journal of Operational Research, Elsevier, vol. 208(2), pages 153-160, January.
  28. Johnson, Andrew L. & Ruggiero, John, 2011. "Allocative efficiency measurement with endogenous prices," Economics Letters, Elsevier, vol. 111(1), pages 81-83, April.
  29. Andrew Johnson & Leon McGinnis, 2011. "Performance measurement in the warehousing industry," IISE Transactions, Taylor & Francis Journals, vol. 43(3), pages 220-230.
  30. Timo Kuosmanen & Andrew L. Johnson, 2010. "Data Envelopment Analysis as Nonparametric Least-Squares Regression," Operations Research, INFORMS, vol. 58(1), pages 149-160, February.
  31. Wen-Chih Chen & Andrew Johnson, 2010. "The dynamics of performance space of Major League Baseball pitchers 1871–2006," Annals of Operations Research, Springer, vol. 181(1), pages 287-302, December.
  32. A L Johnson & L F McGinnis, 2009. "The hyperbolic-oriented efficiency measure as a remedy to infeasibility of super efficiency models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1511-1517, November.
  33. Johnson, Andrew L. & McGinnis, Leon F., 2008. "Outlier detection in two-stage semiparametric DEA models," European Journal of Operational Research, Elsevier, vol. 187(2), pages 629-635, June.

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