American Journal of Mechanical Engineering
ISSN (Print): 2328-4102 ISSN (Online): 2328-4110 Website: http://www.sciepub.com/journal/ajme Editor-in-chief: Kambiz Ebrahimi, Dr. SRINIVASA VENKATESHAPPA CHIKKOL
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American Journal of Mechanical Engineering. 2015, 3(2), 63-71
DOI: 10.12691/ajme-3-2-5
Open AccessArticle

BDR Modelling of Passenger Queues at Nnamdi Azikiwe International Airport, Abuja, Nigeria

Nuhu A. Ademoh1, and Anosike Esther Nneka1,

1Department Of Mechanical Engineering, Federal University of Technology, Minna, Nigeria

Pub. Date: May 04, 2015

Cite this paper:
Nuhu A. Ademoh and Anosike Esther Nneka. BDR Modelling of Passenger Queues at Nnamdi Azikiwe International Airport, Abuja, Nigeria. American Journal of Mechanical Engineering. 2015; 3(2):63-71. doi: 10.12691/ajme-3-2-5

Abstract

A nation’s air industry is vital to her development as it offers inter-linkages for all the economic sectors. International airport of a country’s capital city acts as gateway and gives lots of first hand impression of her integrity. Nnamdi Azikiwe International Airport, the gateway to Nigeria’s capital city, Abuja, faces problem of passengers queuing for boarding, departure and arrival at different rates due to ineffectiveness in management of travelers using the facility. This never gave travelers, particularly international passengers a good impression of the country. As part solution, this study developed a queuing model using Birth and Death Rate approach to simulate the problem and find enduring solution. Four air transport companies consisting two each of domestic and international operators that frequently use the facility was adopted as study samples. Their 2013 flight data were used to simulate model for validation. Result showed that in order to meet current daily passenger need each domestic airline required at least 5 aircrafts. Each international airline required one additional aircraft to effectively service the monthly average demands of 21,863 passengers. The system required 0.5 service factor and utilization factors of 0.4, 0.6 and 0.9 at 5% significance.

Keywords:
birth and death rate modeling airport waiting line service factor

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