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040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.18.06.M.Sc.2020.Ye.A
100 0 _aYehia Ahmed Mohamed
245 1 0 _aAnalyze the waiting lines at ticket windows for Cairo Metro to improve customer service /
_cYehia Ahmed Mohamed ; Supervised Hesham Makhlouf , Mohamed Mostafa
246 1 5 _aتحليل طوابير الانتظار عند شبابيك تذاكر مترو القاهرة لتحسين خدمة العميل
260 _aCairo :
_bYehia Ahmed Mohamed ,
_c2020
300 _a56 Leaves ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Statistical Quality Control and Quality Assurance
520 _aCairo is the largest city in the African Continent and the Middle East region with a population of over 20 million, representing more than 20% of the total population of Egypt. Cairo has terrible traffic jams and several traffic congestion problems which mean long waiting times for any transportation activities. Therefore, Cairo metro attracts plenty of passengers providing rapid and affordable transportation. At present, the metro stations in density populated areas such as Ain-shams, El-marge, Hadayeq El-maady and Dar El-Salam, where the metro is the main public transport in these areas face a major difficulty with the very large passengers' arrival rate at ticket windows in the morning intending to reach their work. The consequences are long waiting lines building up.The waiting lines form because passengers arrive at the ticket windows faster than they can be served. While the station servers are trying to serve at their fastest pace, the remarkably large queues indicate that there is a big problem that the station faces in its services, which must be dealt with rapidly. The main object of the study was analysing the queuing situation at ticket windows in the metro stations and writing a program to calculate the system performance measures, and use this program to propose appropriate solution to the metro management for service quality improvement. This research contains the analysis of queuing system at ticket windows for one of the metro stations as example. The data used was collected from extensive observations of the Ain Shams station. The appropriate queuing model was chosen and software program was written for this model
530 _aIssued also as CD
653 4 _aPassengers
653 4 _aQueuing theory
653 4 _aWaiting lines
700 0 _aHesham Makhlouf ,
_eSupervisor
700 0 _aMohamed Mostafa ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aShimaa
_eCataloger
942 _2ddc
_cTH
999 _c80010
_d80010