Application of Queuing Model to Ease Traveler’s Flow in Nigerian International Airports.
Journal Title: IOSR journal of Business and Management - Year 2018, Vol 20, Issue 8
Abstract
The study examined the application of queuing model to ease travelers’ flow in the Nigerian international airports. Travelers experiencing long queuing for boarding and arrival at the airport is not only at the local airports but also a growing concern to the stakeholders at the international airports,these queues have led to loss of time, resources and contributed to creating health problems for some travelers while on queue in which some have even collapse and die in the process. This study aims to develop a structural model (or flow chart) to ease travelers flow within different operational servicing units in the Nigeria Airport. The study employed observational and ex-post facto research designs. The population of the study are infinite (travelers at the airports) and finite (entire international airports in Nigeria). Cochran’s (1977) formula was used to get the sample size from infinite population to be 246. Convenient sampling technique was used to select two international airports wile accidental sampling technique was used to select the sample from the infinite population. Content validity and Cronbach’s alpha reliability was used to measure the research instrument. The observational data were analysed using TORA optimization application. After a three-day observation of the travelers’ movement at 6 airlines desk at the chosen airport with the introduction of multiple queue multiple server in parallel model developed reveals on the average for the 6 airlines, number of customer in the system is 4.04 travelers, while the average number of travelers waiting in a queue per hour is 1.49. The average time traveler spent in the system (wait-inline and been served) is 0.022 (1.33minute) while the average time a traveler spends in the queue waiting for service is 0.0096 (0.58minutes).
Authors and Affiliations
Alamutu . , Salimonu Adigun
Keywords
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- EP ID EP412308
- DOI 10.9790/487X-2008021728.
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