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Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling

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2019, Master of Science, University of Akron, Mechanical Engineering.
The main aim of this thesis is to generate different simulation modeling scenarios for performing inspection operations on different Federal Aviation Administration facilities. Different combinations of aircraft and routes are initiated to design different scenarios for performing inspections. For assigning aircraft into the model, a study of FAA current fleet composition is made. To make the model robust, probabilistic distribution is introduced into the modeling approach. For every modeling approach or scenario, a various number of experiments with thousands of replications are created to generate a maximum, minimum and average number of inspections over a year that can be performed through that modeling approach. Furthermore, a comparison of the different modeling approaches is made based on the number of inspections made by each model over a year.
Shengyong Wang, PhD (Advisor)
Chen Ling, PhD (Committee Member)
104 p.

Recommended Citations

Citations

  • Islam, M. R. U. (2019). Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1560965666900518

    APA Style (7th edition)

  • Islam, Md Rubayat Ul. Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling. 2019. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1560965666900518.

    MLA Style (8th edition)

  • Islam, Md Rubayat Ul. "Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling." Master's thesis, University of Akron, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1560965666900518

    Chicago Manual of Style (17th edition)