Document Details

Document Type : Thesis 
Document Title :
FORECASTING PASSENGER NUMBERS IN SAUDI ARABIAN AIRLINES FLIGHTS
التنبؤ بأعداد الركاب لرحلات الخطوط الجوية العربية السعودية
 
Subject : Faculty of Engineering 
Document Language : Arabic 
Abstract : Time Series data for Passenger in Saudi Arabian Airlines were collected in Gregorian and partially in Hijri calendars. The data were monthly for ten years from January 2007G to July 2017G in Gregorian. However, Hijri data were only from Muharram 1435H to Shawal 1438H. The Gregorian data are transformed to Hijri to complete the missing gab. A major question to be studied is raised about existence of seasonality and which data is better than the other in expressing seasonality pattern. Another important question is to identify months of the year having better seasonality than others. Both of these questions are answered in the thesis. Many time series forecasting models available in Minitab and Excel software are checked to apply for both Hijri and Gregorian data. Each forecasting method is checked for adequacy and for the measures of forecasting errors. The forecasting method having the smallest measures errors and random residuals is ARIMA(1,1,3)(1,0,3) for the Gregorian data and ARIMA(1,1,1)(1,0,3) for the Hijri data. This methods are used perform the long-term forecasting for the upcoming 5 years. 
Supervisor : Dr. Mohammad Reda Kabli i 
Thesis Type : Master Thesis 
Publishing Year : 1439 AH
2018 AD 
Co-Supervisor : Dr. Rami Hussain Al amoud 
Added Date : Monday, August 13, 2018 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
عبدالعزيز طارق قاضيQadi, AbdulAziz TariqResearcherMaster 

Files

File NameTypeDescription
 43675.pdf pdf 

Back To Researches Page