@article{nelson_king_mcconnell_thoney-barletta_2023, title={US Army Aviation air movement operations assignment, utilization and routing}, volume={7}, url={https://doi.org/10.1108/JDAL-11-2022-0013}, DOI={10.1108/JDAL-11-2022-0013}, abstractNote={PurposeThe purpose of this study was to create an air movement operations planning model to rapidly generate air mission request (AMR) assignment and routing courses of action (COA) in order to minimize unsupported AMRs, aircraft utilization and routing cost.Design/methodology/approachIn this paper, the US Army Aviation air movement operations planning problem is modeled as a mixed integer linear program (MILP) as an extension of the dial-a-ride problem (DARP). The paper also introduces a heuristic as an extension of a single-vehicle DARP demand insertion algorithm to generate feasible solutions in a tactically useful time period.FindingsThe MILP model generates optimal solutions for small problems (low numbers of AMRs and small helicopter fleets). The heuristic generates near-optimal feasible solutions for problems of various sizes (up to 100 AMRs and 10 helicopter team fleet size) in near real time.Research limitations/implicationsDue to the inability of the MILP to produce optimal solutions for mid- and large-sized problems, this research is limited in commenting on the heuristic solution quality beyond the numerical experimentation. Additionally, the authors make several simplifying assumptions to generalize the average performance and capabilities of aircraft throughout a flight.Originality/valueThis research is the first to solve the US Army Aviation air movement operations planning problem via a single formulation that incorporates multiple refuel nodes, minimization of unsupported demand by priority level, demand time windows, aircraft team utilization penalties, aircraft team time windows and maximum duration and passenger ride time limits.}, number={1}, journal={Journal of Defense Analytics and Logistics}, publisher={Emerald}, author={Nelson, Russell and King, Russell and McConnell, Brandon M. and Thoney-Barletta, Kristin}, year={2023}, month={May}, pages={2–28} }
 @article{army aviation air movement automation for the mission planner_2022, url={https://www.lib.ncsu.edu/resolver/1840.20/39678}, journal={Aviation Digest}, year={2022}, month={Mar} }
 @article{nelson_cheatham_gallagher_bigelman_thomas_2019, title={Revisiting the United States Army body composition standards: a receiver operating characteristic analysis}, volume={43}, url={http://dx.doi.org/10.1038/s41366-018-0195-x}, DOI={10.1038/s41366-018-0195-x}, abstractNote={{"Label"=>"BACKGROUND"} The objective for percent body fat standards in the United States Army Body Composition Program (ABCP) is to ensure soldiers maintain optimal well-being and performance under all conditions. However, conducting large-scale experiments within the United States Army to evaluate the efficacy of the thresholds is challenging. {"Label"=>"METHODS"} A receiver operating characteristic (ROC) analysis with corresponding area under the curve (AUC) was performed on body mass index (BMI) and waist circumference to determine optimal gender-specific age cohort thresholds that meet ABCP percent body fat standards in the National Health and Nutrition Examination Survey (NHANES) III. A second dataset consisting of a cohort of basic training recruits (N = 20,896 soldiers, 28% female) with BMI and waist circumference measured using a 3D body image scanner was applied to calculate what percent of basic training recruits meet the ABCP percent body fat standards. Regression models to determine the contribution of different circumference sites to the predictions of percent body fat were developed using a database compiled at the New York Obesity Research Center (N = 500). {"Label"=>"RESULTS"} Optimal BMI thresholds ranged from 23.65 kg/m {"sup"=>"2"}  (17-21-year-old cohort) to 26.55 kg/m {"sup"=>"2"}  (40 and over age cohort) for males and 21.75 to 24.85 kg/m {"sup"=>"2"}  for females. The AUC values were between 0.86 and 0.92. The waist circumference thresholds ranged 81.35 to 97.55 cm for males and 77.05 to 89.35 cm for females with AUC values between 0.90 and 0.91. These BMI thresholds were exceeded by 65% of male and 74% of female basic training recruits and waist circumference thresholds were exceeded by 73% of male and 85% of female recruits. The single circumference that contributed most to prediction of body fat was waist circumference in males and mid-thigh circumference in females. {"Label"=>"CONCLUSIONS"} The ABCP percent body fat thresholds yield BMI thresholds that are below the United States Army BMI standards, especially in females which suggests the ABCP percent body fat standards may be too restrictive. The United States Army percent body fat standards could instead be matched to existing national health guidelines.}, number={8}, journal={International Journal of Obesity}, publisher={Springer Science and Business Media LLC}, author={Nelson, Russell and Cheatham, Johnathan and Gallagher, Dympna and Bigelman, Kevin and Thomas, Diana M.}, year={2019}, month={Aug}, pages={1508–1515} }