Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling
نام عام مواد
[Thesis]
نام نخستين پديدآور
Islam, Md. Rubayat U. I.
نام ساير پديدآوران
Wang, Shengyong
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
The University of Akron
تاریخ نشرو بخش و غیره
2019
يادداشت کلی
متن يادداشت
105 p.
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
M.S.
کسي که مدرک را اعطا کرده
The University of Akron
امتياز متن
2019
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
اصطلاحهای موضوعی کنترل نشده
اصطلاح موضوعی
Aerospace engineering
اصطلاح موضوعی
Engineering
اصطلاح موضوعی
Industrial engineering
اصطلاح موضوعی
Logic
اصطلاح موضوعی
Management
اصطلاح موضوعی
Mechanical engineering
اصطلاح موضوعی
Statistics
اصطلاح موضوعی
Systems science
اصطلاح موضوعی
Transportation
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )