A Multi-Period Model for Optimal Changi Airport Check-In Counter Operations

Nur Haliza Md Alimuddin, Qatrunnada Noor Izzuddin, Muhammad Amirul Amat, Zati Aqmar Zaharudin

Abstract

Growth in air passenger flow has caused severe congestion at the airport check-in counter, posing a significant problem for airport management. Particularly during the check-in process, the necessary authorities must coordinate sufficient facilities with adequate staffing levels. The airport check-in counter problem (ACCAP) is a field concerned with establishing the optimal number of check-in counters to balance operating expenses and passenger wait times in order to reduce airport congestion. Expanding the number of counters and staff to a minimum operating cost is able to prevent the congestion problem from escalating without incurring further operating expenses. This paper focused on proposing optimal scheduling of airport check-in counters operations, including staffing. A dynamic model with multi-period principles is adapted to address the aforementioned problem by balancing the trade-off between service performance and operational cost. As a case study, data from Singapore Changi International Airport was utilized. The findings are also discussed in terms of the flow of passengers throughout the airport check-in procedure and operations. As a result, the number of activated counters is minimized throughout all shifts by applying the dynamic model at the average service time. At the same time, there are fewer passengers in the queue.

References

Ahyudanari, E. (2003). Methodology to Determine Airport Checkin Counter Arrangements. UNSW Sydney

Al-Sultan, A. T. (2015). Airport Check-in Optimization by IP and Simulation in Combination. International Journal of Mathematical and Computational Sciences, 9(1); 403–406

Araujo, G. E. and H. M. Repolho (2015). Optimizing the Airport Check-in Counter Allocation Problem. Journal of Transport Literature, 9; 15–19

Bevilacqua, M. and F. Ciarapica (2010). Analysis of Check-in Procedure Using Simulation: A Case Study. IEEE International Conference on Industrial Engineering and Engineering Management; 1621–1625

Bok, R. (2015). Airports on the Move? The Policy Mobilities of Singapore Changi Airport at Home and Abroad. Urban Studies, 52(14); 2724–2740

Bruno, G., A. Diglio, A. Genovese, and C. Piccolo (2019). A Decision Support System to Improve Performances of Airport Check-in Services. Soft Computing, 23(9); 2877–2886

Bruno, G. and A. Genovese (2010). A Mathematical Model for the Optimization of the Airport Check-in Service Problem. Electronic Notes in Discrete Mathematics, 36; 703–710

Bruno, G., A. Genovese, and C. Piccolo (2014). The Capacitated Lot Sizing Model: A Powerful Tool for Logistics Decision Making. International Journal of Production Economics, 155; 380–390

Dabachine, Y., H. Taheri, M. Biniz, B. Bouikhalene, and A. Balouki (2020). Strategic Design of Precautionary Measures for Airport Passengers in Times of Global Health Crisis Covid 19: Parametric Modelling and Processing Algorithms. Journal of Air Transport Management, 89; 101917

Hsu, C. I., C. C. Chao, and K. Y. Shih (2012). Dynamic Allocation of Check-in Facilities and Dynamic Assignment of Passengers at Air Terminals. Computers and Industrial Engineering, 63(2); 410-417

Lalita, T. and G. Murthy (2022). The Airport Check-in Counter Allocation Problem: A Survey. ArXiv Preprint

Lee, C., Y. Ng, Y. Lv, and P. Taezoon (2014). Empirical Analysis of a Self-service Check-in Implementation in Singapore Changi Airport. International Journal of Engineering Business Management, 6; 33–44

Lee, H. P., S. Kumar, S. Garg, and K. M. Lim (2022). Characteristics of Aircraft Flypast Noise Around Singapore Changi International Airport. Applied Acoustics, 185; 108418

Marintseva, K. (2014). Comparative Analysis of Check-in Technologies at the Airport. Proceedings of National Aviation University, 2(59); 97–104

Nandhini, M., K. Palanivel, and S. Oruganti (2012). Optimization of Airport Check-in Service Scheduling. Unpublished, 10(2.1); 4056–7041

Paloma Garcia, I. (2017). Improving Check-in Processing at Brisbane Airport. Universitat Politècnica de Catalunya

Parlar, M., B. Rodrigues, and M. Sharafali (2018). Eventbased Allocation of Airline Check-in Counters: A Simple Dynamic Optimization Method Supported by Empirical Data. International Transactions in Operational Research, 25(5); 1553–1582

Parlar, M. and M. Sharafali (2008). Dynamic Allocation of Airline Check-in Counters: A Queueing Optimization Approach. Management Science, 54(8); 1410–1424

Pita, J. P., C. Barnhart, and A. P. Antunes (2013). Integrated Flight Scheduling and Fleet Assignment under Airport Congestion. Transportation Science, 47(4); 477–492

Rajapaksha, A. and N. Jayasuriya (2020). Smart Airport: A Review on Future of the Airport Operation. Global Journal of Management and Business Research, 20; 25–34

Van Dijk, N. M. and E. Van Der Sluis (2006). Check-in Computation and Optimization by Simulation and IP in Combination. European Journal of Operational Research, 171(3); 1152–1168

Wu, H. and K. W. H. Tsui (2020). Does A Reward Program Affect Customers’ Behavioural Intention of Visiting the Airport? A Case Study of Singapore Changi Airport. Journal of Air Transport Management, 82; 101742

Xin, Z., D. Lin, Y. Huang, W. Cheng, and C. C. Teo (2014). Design of Service Capacity for the Ground Crew at the Airport Check-in Counters. International Journal of Quality and Service Sciences, 6(1); 43–59

Xu, S. Z., R. M. Wang, B. Zhu, J. F. Zhu, and J. Du (2014). Operation Optimization of the Airport Check-in System. Applied Mechanics and Materials, 457; 1665–1668

Zografos, K. G., M. A. Madas, and K. N. Androutsopoulos (2017). Increasing Airport Capacity Utilisation through Optimum Slot Scheduling: Review of Current Developments and Identification of Future Needs. Journal of Scheduling, 20(1); 3–24

Authors

Nur Haliza Md Alimuddin
Qatrunnada Noor Izzuddin
Muhammad Amirul Amat
Zati Aqmar Zaharudin
zati@uitm.edu.my (Primary Contact)
Md Alimuddin, N. H., Noor Izzuddin, Q., Amat, M. A., & Zaharudin, Z. A. (2023). A Multi-Period Model for Optimal Changi Airport Check-In Counter Operations. Science and Technology Indonesia, 8(1), 116–122. https://doi.org/10.26554/sti.2023.8.1.116-122

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