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ORCIDAndrew L. Johnson
Person information
- affiliation: Texas A&M University, College Station, TX, USA
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2020 – today
- 2020
[j23]Kevin Layer, Andrew L. Johnson
, Robin C. Sickles, Gary D. Ferrier:
Direction selection in stochastic directional distance functions. Eur. J. Oper. Res. 280(1): 351-364 (2020)- [j22]José Luis Preciado Arreola, Andrew L. Johnson, Xun C. Chen, Hiroshi Morita:
Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method. Eur. J. Oper. Res. 287(2): 699-711 (2020)
2010 – 2019
- 2017
- [j21]Timo Kuosmanen, Andrew L. Johnson:
Modeling joint production of multiple outputs in StoNED: Directional distance function approach. Eur. J. Oper. Res. 262(2): 792-801 (2017) - [j20]René M. B. M. de Koster, Andrew L. Johnson, Debjit Roy:
Warehouse design and management. Int. J. Prod. Res. 55(21): 6327-6330 (2017) - 2015
- [j19]Chia-Yen Lee, Andrew L. Johnson:
Effective production: measuring of the sales effect using data envelopment analysis. Ann. Oper. Res. 235(1): 453-486 (2015) - [j18]Chia-Yen Lee, Andrew L. Johnson:
Measuring Efficiency in Imperfectly Competitive Markets: An Example of Rational Inefficiency. J. Optim. Theory Appl. 164(2): 702-722 (2015) - 2014
- [j17]Andrew L. Johnson, John Ruggiero:
Nonparametric measurement of productivity and efficiency in education. Ann. Oper. Res. 221(1): 197-210 (2014) - [j16]Chia-Yen Lee, Andrew L. Johnson:
Proactive data envelopment analysis: Effective production and capacity expansion in stochastic environments. Eur. J. Oper. Res. 232(3): 537-548 (2014) - [j15]Jongsung Lee, Byung-In Kim, Andrew L. Johnson, Kiho Lee:
The nuclear medicine production and delivery problem. Eur. J. Oper. Res. 236(2): 461-472 (2014) - 2013
- [j14]Chia-Yen Lee, Andrew L. Johnson, Erick Moreno-Centeno, Timo Kuosmanen:
A more efficient algorithm for Convex Nonparametric Least Squares. Eur. J. Oper. Res. 227(2): 391-400 (2013) - [j13]Byung-In Kim, Hong Li, Andrew L. Johnson:
An augmented large neighborhood search method for solving the team orienteering problem. Expert Syst. Appl. 40(8): 3065-3072 (2013) - 2012
- [j12]Chia-Yen Lee, Andrew L. Johnson:
Two-dimensional efficiency decomposition to measure the demand effect in productivity analysis. Eur. J. Oper. Res. 216(3): 584-593 (2012) - [j11]Andrew L. Johnson, Timo Kuosmanen:
One-stage and two-stage DEA estimation of the effects of contextual variables. Eur. J. Oper. Res. 220(2): 559-570 (2012) - [j10]Soondo Hong, Andrew L. Johnson, Brett A. Peters:
Batch picking in narrow-aisle order picking systems with consideration for picker blocking. Eur. J. Oper. Res. 221(3): 557-570 (2012) - 2011
- [j9]Trevor Collier, Andrew L. Johnson, John Ruggiero:
Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis. Eur. J. Oper. Res. 208(2): 153-160 (2011) - [j8]Niranjan R. Nataraja, Andrew L. Johnson:
Guidelines for using variable selection techniques in data envelopment analysis. Eur. J. Oper. Res. 215(3): 662-669 (2011) - 2010
- [j7]Wen-Chih Chen, Andrew L. Johnson:
The dynamics of performance space of Major League Baseball pitchers 1871-2006. Ann. Oper. Res. 181(1): 287-302 (2010) - [j6]Andy L. Johnson, Wen-Chih Chen, Leon F. McGinnis:
Large-scale Internet benchmarking: Technology and application in warehousing operations. Comput. Ind. 61(3): 280-286 (2010) - [j5]Wen-Chih Chen, Andrew L. Johnson:
A unified model for detecting efficient and inefficient outliers in data envelopment analysis. Comput. Oper. Res. 37(2): 417-425 (2010) - [j4]Sarah M. Estelle, Andy L. Johnson, John Ruggiero:
Three-stage DEA models for incorporating exogenous inputs. Comput. Oper. Res. 37(6): 1087-1090 (2010) - [j3]Timo Kuosmanen, Andrew L. Johnson:
Data Envelopment Analysis as Nonparametric Least-Squares Regression. Oper. Res. 58(1): 149-160 (2010)
2000 – 2009
- 2009
- [j2]Andrew L. Johnson, Leon F. McGinnis:
The hyperbolic-oriented efficiency measure as a remedy to infeasibility of super efficiency models. J. Oper. Res. Soc. 60(11): 1511-1517 (2009) - [c2]Andrew L. Johnson, Héctor J. Carlo, Jesus A. Jimenez, Dima Nazzal, Vernet Lasrado:
A Greedy Heuristic for Locating Crossovers in Conveyor-based AMHS in Wafer Fabs. WSC 2009: 1667-1676 - 2008
- [j1]Andrew L. Johnson, Leon F. McGinnis:
Outlier detection in two-stage semiparametric DEA models. Eur. J. Oper. Res. 187(2): 629-635 (2008) - [c1]Dima Nazzal, Andrew L. Johnson, Héctor J. Carlo, Jesus A. Jimenez:
An analytical model for conveyor based AMHS in semiconductor wafer fabs. WSC 2008: 2148-2155
Coauthor Index
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