A Simulation of Optimal Model on Fractional Aircraft Ownership (FAO) Management

  • Novriana Sumarti Institut Teknologi Bandung, Indonesia
  • Ida B.P. Brahmandita Institut Teknologi Bandung, Indonesia
  • Muhammad A. Aqsha Institut Teknologi Bandung, Indonesia
Keywords: Optimization, Investment, Mathematical Modelling, Flight Scheduling, Stochastic Simulation, Aviation Industry


Compared to owning a private jet, Fractional Aircraft Ownership (FAO) concept is a cheaper alternative for very mobile business persons who want to travel in comfort. The aircraft is owned by a number of customers (referred to as “owners”) and the flight hours of its operation are shared based on each owner’s portion. In this research, we do the simulation of an FAO company with very large demands with 27 cities of destination, which are commonly visited by business people in Indonesia. We derive flight demands stochastically from the owners and create optimal flying schedules based on the demands. Using the calculation of fixed and variable costs, we can determine the optimal flight pairings that minimized the operational cost. Eventually, we can determine the number of aircraft needed to be owned by FAO so the business will profit.


Phenom300 specification, 2022. https://daflwcl3bnxyt.cloudfront.net/m/7d8e81491c1dfdbb/original/Phenom-300E-brochure.pdf [Accesed 25 June 2022].

Pt angkasa pura aiport information, tarif jasa kebandaraudaraan. https://ap1.co.id/id/information/tarif-jasa-kebandarudaraan [Accesed 25 June 2022].

Sherpa report. Technical report, 2022. https://www.sherpareport.com/aircraft/aircraft-overview/costs-embraer-phenom-300.html [Accesed 25 June 2022].

Gibson, W., and Morrell, P. Airline finance and aircraft financial evaluation: evidence from the field. In ATRS World Conference 2005 Paper (2005). https://www.airbusiness-academy.com/files/pmedia/public/.

Graf, V., Teichmann, D., Dorda, M., and Kontrikova, L. Dynamic model of contingency flight crew planning extending to crew formation. MDPI: Mathematics 2138 (2021).

Hadianti, R., Novianingsih, K., Uttunggadewa, S., Sidarto, K., Sumarti, N., and Soewono, E. Optimization model for an airline crew rostering problem: Case of garuda indonesia. Journal of Mathematical and Fundamental Sciences 45(3) (2014), 218–234.

Munari, P., and Alvarez, A. Aircraft routing for on-demand air transportation with service upgrade and maintenance events: Compact model and case study. Journal of Air Transport Management 75 (2019), 75–84.

Rahmalia, D., Chandra, N., Rohmaniah, S., Muzdalifah, L., and Kurniawati, E. Goal programming on optimal pairings selection from flight schedule using bat algorithm. In Journal of Physics: Conference Series (2020), vol. 1490.

Rao, S. S., Ed. Engineering Optimization: Theory and Practice, Fourth Edition. John Wiley & Sons, Inc, 2009.

Septiani, R., Pasaribu, H., Soewono, E., and Fayalita, R. Optimization in fractional aircraft ownership. In AIP Conference Proceedings (2012), vol. 1450, 234.

Sumarti, N., Chandra, F., and Minardi, J. Optimization of personnel cost in aircrew assignment problem using a simple fuzzy logic approach. MENDEL — Soft Computing Journal 23 (1) (2017), 133–140.

Sumarti, N., Rakhman, R. N., Hadianti, R., and Uttunggadewa, S. Application of simulated annealing method on aircrew assignment problems in garuda indonesia. In Proceedings of the World Congress on Engineering (2012). Vol I.

Yao, Y., Ergun, O., Johnson, E., Schultz, W., and Singleton., J. Strategic planning in fractional aircraft ownership programs. European Journal of Operational Research 189 (2008), 256–539.

How to Cite
Sumarti, N., Brahmandita, I. and Aqsha, M. 2022. A Simulation of Optimal Model on Fractional Aircraft Ownership (FAO) Management. MENDEL. 28, 2 (Dec. 2022), 1-8. DOI:https://doi.org/10.13164/mendel.2022.2.001.
Research articles