A Stochastic Model of Airline Operations
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2002/11/01
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Journal
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Indian UGC (journal)
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Refrences22
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Citations63
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Jay M. Rosenberger Operations Research and Decision Support Department, American Airlines, Dallas-Fort Worth Airport, Texas 75261-9616
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Andrew J. Schaefer Department of Industrial Engineering, School of Engineering, University of Pittsburgh, 1048 Benedum Hall, Pittsburgh, Pennsylvania 15261
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David Goldsman School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0205
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Ellis L. Johnson School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0205
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Anton J. Kleywegt School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0205
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George L. Nemhauser School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0205
Abstract
Cite
Rosenberger, Jay M., et al. “A Stochastic Model of Airline Operations”. Transportation Science, vol. 36, no. 4, 2002, pp. 357-7, https://doi.org/10.1287/trsc.36.4.357.551.
Rosenberger, J. M., Schaefer, A. J., Goldsman, D., Johnson, E. L., Kleywegt, A. J., & Nemhauser, G. L. (2002). A Stochastic Model of Airline Operations. Transportation Science, 36(4), 357-377. https://doi.org/10.1287/trsc.36.4.357.551
Rosenberger JM, Schaefer AJ, Goldsman D, Johnson EL, Kleywegt AJ, Nemhauser GL. A Stochastic Model of Airline Operations. Transportation Science. 2002;36(4):357-7.
Journal Categories
Political science
Political institutions and public administration (General)
Social Sciences
Social Sciences
Transportation and communications
Technology
Engineering (General)
Civil engineering (General)
Technology
Engineering (General)
Civil engineering (General)
Transportation engineering
Technology
Manufactures
Production management
Operations management
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Title | 2000 | |||
| Title | 2000 | |||
| Title | 2000 | |||
| Title | 2000 | |||
| Title | 1991 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Integration of turnaround and aircraft recovery to mitigate delay propagation in airline networks | Computers & Operations Research |
| 17 | 2022 |
Experimental and numerical study on heatwave effect over an airfoil for unmanned aerial vehicle applications | Aircraft Engineering and Aerospace Technology |
| 2022 | |
| Stochastic Delay Cost Functions to Estimate Delay Propagation Under Uncertainty | IEEE Access |
| 2022 | |
Spatio-temporal characteristics of hazardous weather affecting Chinese airports based on the ERA5/ERA5-land reanalysis dataset | Frontiers in Climate |
| 2022 | |
| Airline ground operations: Optimal schedule recovery with uncertain arrival times | Journal of Air Transport Management |
| 9 | 2021 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 20
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Rerouting Aircraft for Airline Recovery and was published in 2003. The most recent citation comes from a 2022 study titled Spatio-temporal characteristics of hazardous weather affecting Chinese airports based on the ERA5/ERA5-land reanalysis dataset. This article reached its peak citation in 2006, with 8 citations. It has been cited in 40 different journals, 10% of which are open access. Among related journals, the Transportation Science cited this research the most, with 9 citations. The chart below illustrates the annual citation trends for this article.