Mathematical Model for the Optimization of the Airport Self-Service Kiosks System

This paper studied the effectiveness of airports self-service kiosks by using the data analysis. The queuing systems taking place in various service situations in our daily life. Reasonable use of queuing theory can significantly improve the efficiency of the queuing system and system performance. The service system, queuing system and queuing model is suggested. The queuing theory in the area of service science, the corresponding mathematical model of the airport self-check-in system is established. After analyzing the collected data, it is conclude that the overall proportion of time that the kiosk is idle is quite high at the Vienna airport, especially during the weekdays. Furthermore, the suggestions for the airport selfservice system are offered.

[1]  A. Hegazy,et al.  Study of Airport Self-service Technology within Experimental Research of Check-in Techniques Case Study and Concept , 2010 .

[2]  Ragab Omarah Al-Seedy,et al.  Transient solution of the M/M/c queue with balking and reneging , 2009, Comput. Math. Appl..

[3]  Robin G. Qiu Service Science: The Foundations of Service Engineering and Management , 2014 .

[4]  Hon Keung Yau,et al.  Analyzing customer satisfaction in self-service technology adopted in airports , 2018 .

[5]  Paul P. Maglio,et al.  Fundamentals of service science , 2008 .

[6]  Andreas Wittmer,et al.  Acceptance of self-service check-in at Zurich airport , 2011 .

[7]  Yuriy Syerov,et al.  Development of Mobile System for Medical Recommendations , 2019, Procedia Computer Science.

[8]  Alan Scheller-Wolf,et al.  M/M/c Queue with Two Priority Classes , 2015, Oper. Res..

[9]  M. J. Lopez-Herrero,et al.  Analysis of the busy period for the M/M/c queue: an algorithmic approach , 2001, Journal of Applied Probability.

[10]  P. Maglio,et al.  The Emergence of Service Science: Toward Systematic Service Innovations to Accelerate Co‐Creation of Value , 2008 .

[11]  Tetiana Klynina,et al.  Coordination of Marketing Activity in Online Communities , 2019, CSIT.

[12]  Sergiy Gnatyuk,et al.  Legal Mechanism of Counteracting Information Aggression in Social Networks: from Theory to Practice , 2019, COAPSN.

[13]  Barbara Ohlenforst,et al.  The Role of Communication and Engagement in Airport Noise Management , 2021, Sustainability.

[14]  František Adamčík,et al.  Modern Trends in Airport Self Check-in Kiosks , 2016 .

[15]  Edward C.S. Ku,et al.  Fitting facilities to self-service technology usage: Evidence from kiosks in Taiwan airport , 2013 .

[16]  Woojin Lee,et al.  The Effect of Technology Readiness on Customers' Attitudes toward Self-Service Technology and Its Adoption; The Empirical Study of U.S. Airline Self-Service Check-In Kiosks , 2012 .

[17]  Lourdes López-Valpuesta,et al.  Check-in services and passenger behaviour: Self service technologies in airport systems , 2013, Comput. Hum. Behav..

[18]  John Jarrell Self-service kiosks : museum pieces or here to stay? , 2007 .