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Passengers queue analysis in international airports terminals in Kerala using multiphase queuing system

Author

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  • Roshli Aniyeri
  • Ratnam Nadar

Abstract

Waiting period is a global problem that almost everyone has to face, which causes a great waste of time for everyone. It is well known that all these waiting line problems critically restrict further development. The focus of this study is to deal with passengers' queue issues of the international airport terminals of Kerala. Queuing theory is a mathematical approach to the study of waiting period in queues. This study evaluates the effectiveness of multi-server queuing model. The multi server approach of modelling was adopted in this cram to develop a mathematical model to solve problem of queuing of air transport passengers at the international airports in Kerala. The airport in the aviation industry of the country faces problems of many passengers queuing for boarding, departure with different arrival rate due to non availability of state of the art logistics management mechanisms for predicting the nature and service demands of travellers. The passengers' average wait time for reaching the gate area measures system performance. A mathematical queuing model was developed in this study and comparisons are made using analysis of variance (ANOVA).

Suggested Citation

  • Roshli Aniyeri & Ratnam Nadar, 2018. "Passengers queue analysis in international airports terminals in Kerala using multiphase queuing system," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 12(1), pages 1-30.
    • Handle: RePEc:ids:ijmore:v:12:y:2018:i:1:p:1-30
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    Cited by:

    1. Thitinan Pholsook & Warit Wipulanusat & Vatanavongs Ratanavaraha, 2024. "A Hybrid MRA-BN-NN Approach for Analyzing Airport Service Based on User-Generated Contents," Sustainability, MDPI, vol. 16(3), pages 1-20, January.
    2. Mahmut Bakır & Şahap Akan & Emircan Özdemir & Phi-Hung Nguyen & Jung-Fa Tsai & Hong-Anh Pham, 2022. "How to Achieve Passenger Satisfaction in the Airport? Findings from Regression Analysis and Necessary Condition Analysis Approaches through Online Airport Reviews," Sustainability, MDPI, vol. 14(4), pages 1-20, February.

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