Sustaining the Drone Enterprise: How Manpower Analysis Engendered Policy Reform in the United States Air Force

References

• Bastian M, Heymann S, Jacomy M (2009) Gephi: An open source software for exploring and manipulating networks. Accessed September 16, 2016, https://gephi.org/publications/gephi-bastian-feb09.pdf.Google Scholar
• De Feyter T, Guerry MA (2011) Markov models in manpower planning: A review. Varela J, Acuña S, eds. Mathematics Research Developments. Handbook of Optimization Theory: Decision Analysis and Applications (Nova Science Publishers, Hauppauge, NY), 67–68.Google Scholar
• Gass SI, Harris CM (2012) Encyclopedia of Operations Research and Management Science (Springer Science & Business Media, New York).Google Scholar
• Kemeny JG, Snell JL (1960) Finite Markov Chains (van Nostrand, Princeton , NJ).Google Scholar
• Majumdar D (2015) Exclusive: U.S. drone fleet at “breaking point,” Air Force says. Accessed September 16, 2016, http://www.thedailybeast.com/articles/2015/01/04/exclusive-u-s-drone-fleet-at-breaking-point-air-force-says.html.Google Scholar
• Reed J, McCain J (2015) Senators McCain and Reed call for standardized training for UAS pilots. Accessed September 16, 2016, http://www.mccain.senate.gov/public/index.cfm/press-releases?ID=e1a64e65-1e20-4a2d-bb5f-892c3b2ccccf.Google Scholar
• Seal H (1945) The mathematics of a population composed of k stationary strata each recruited from the stratum below and supported at the lowest level by a uniform annual number of entrants. Biometrika 33(3):226–230.Crossref, Google Scholar
• Smith A, Bartholomew D (1988) Manpower planning in the United Kingdom: An historical review. J. Oper. Res. Soc. 39(3):235–248.Crossref, Google Scholar
• Vajda S (1947) The stratified semi-stationary population. Biometrika 34(3–4):243–254.Crossref, Google Scholar
• Vajda S (1948) Introduction to a mathematical theory of a graded stationary population. Bull. Assoc. Actuaires Suisse 48:251–273.Google Scholar
• Wang J (2005) A review of operations research applications in workforce planning and potential modeling of military training. Accessed September 19, 2016, http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.526.2648&rep=rep1&type=pdf.Google Scholar
• Young A, Almond G (1961) Predicting distributions of staff. Comput. J. 3(4):246–250.Crossref, Google Scholar