Abstract
We consider the use of the new C-130J-30 aircraft for long distance (strategic) cargo movement. Currently, only large aircraft, the C-5 and the C-17, are identified as strategic airlift assets by the United States Air Force. Our mathematical model identifies all logical airframe combinations to perform a cargo movement given a set of constraints. Using previously developed routing algorithms and fuel metrics, we evaluated the combinations and calculated the potential savings had the most fuel efficient combination been selected. Analyzing 1 month of historic data for four long distance routes, our proposed model suggests that savings could have been more than one million dollars.
Similar content being viewed by others
References
Bayliss, C., Maere, G., Atkin, J., & Paelinck, M. (2017). A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty. Annals of Operations Research, 252(2), 335–363.
Cook Jr, C. W. (1998). Integrating C-17 direct delivery airlift into traditional air force doctrine. (MS), Air Force Institute of Technology, Wright-Patterson Air Force Base Ohio.
Gabteni, S., & Grönkvist, M. (2009). Combining column generation and constraint programming to solve the tail assignment problem. Annals of Operations Research, 171(1), 61–76.
Green, J. E. (2005). Air travel-greener by design. Mitigating the environmental impact of aviation: Opportunities and priorities. Aeronautical Journal, 109(1099), 361–418.
Hahn, A. S. (2007). Staging airliner service. Paper presented at the 7th AIAA Aviation Technology. Hampton, VA: Integration and Operations Conference (ATIO).
Lapp, M., & Wilkenhauser, F. (2012). Incorporating aircraft efficiency measures into the tail assignment problem. Journal of Air Transport Management, 19, 25–30.
Lau, H. C. W., Chan, T. M., Tsui, W. T., Ho, G. T. S., & Choy, K. L. (2009). An AI approach for optimizing multi-pallet loading operations. Expert Systems and Applications, 36, 4296–4312.
Maywald, J. D. (2016). Reducing airlift inefficiency through aircraft selection modeling. (MS), Air Force Institute of Technology.
Nangia, R. K. (2006). Operations and aircraft design towards greener civil aviation using air-to-air refuelling. Aeronautical Journal, 110(1113), 705–721.
Reiman, A. D. (2014). Enterprise Analysis of Strategic Airlift to Obtain Competitive Advantage through Fuel Efficiency. Ph.D. Thesis, Air Force Institute of Technology.
Sinuany-Stern, Z., & Sherman, H. D. (2014). Operations research in the public sector and nonprofit organizations. Annals of Operations Research, 221(1), 1–8.
Toh, R. S., & Higgins, R. G. (1985). The impact of hub and spoke network centralization and route monopoly on domestic airline profitability. Transportation Journal, 24(4), 16–27.
United States Air Force. (2014a). Annex 3–17 air mobility operations. Retrieved from www.doctrine.af.mil.
United States Air Force. (2014b). C-5 A/B/C galaxy and C-5M super galaxy US air force fact sheet. Retrieved from www.af.mil/AboutUs/FactSheets.aspx.
United States Air Force. (2015a). Air force total ownership cost. Retrieved from https://www.aftoc/hill.af.mil.
United States Air Force. (2015b). AMC unveils new generation command and control system. Retrieved from www.amc.af.mil/news/story.asp?id=123015383.
United States Air Force. (2015c). C-17 Globemaster III US air force fact sheet. Retrieved from www.af.mil/AboutUs/FactSheets.aspx.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Maywald, J.D., Reiman, A.D., Overstreet, R.E. et al. Aircraft selection modeling: a multi-step heuristic to enumerate airlift alternatives. Ann Oper Res 274, 425–445 (2019). https://doi.org/10.1007/s10479-018-2933-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10479-018-2933-9