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

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-i...

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Main Authors: Nur Haliza Md Alimuddin, Qatrunnada Noor Izzuddin, Muhammad Amirul Amat, Zati Aqmar Zaharudin
Format: Article
Language:English
Published: Magister Program of Material Sciences, Graduate School of Universitas Sriwijaya 2023-01-01
Series:Science and Technology Indonesia
Subjects:
Online Access:https://sciencetechindonesia.com/index.php/jsti/article/view/635/293
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author Nur Haliza Md Alimuddin
Qatrunnada Noor Izzuddin
Muhammad Amirul Amat
Zati Aqmar Zaharudin
author_facet Nur Haliza Md Alimuddin
Qatrunnada Noor Izzuddin
Muhammad Amirul Amat
Zati Aqmar Zaharudin
author_sort Nur Haliza Md Alimuddin
collection DOAJ
description 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.
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spelling doaj.art-f20f1f34921c4be6b253b00aaaa8c8742024-03-02T08:00:04ZengMagister Program of Material Sciences, Graduate School of Universitas SriwijayaScience and Technology Indonesia2580-44052580-43912023-01-018111612210.26554/sti.2023.8.1.116-122A Multi-Period Model for Optimal Changi Airport Check-In Counter OperationsNur Haliza Md Alimuddin 0Qatrunnada Noor Izzuddin 1Muhammad Amirul Amat 2Zati Aqmar Zaharudin 3Citi Transaction Services (M) Sdn Bhd, Menara Citibank, Kuala Lumpur, 50450, MalaysiaHiraki Timur Sdn Bhd, Kolej Teknologi Timur, Sepang, 43900, MalaysiaInfosys, Petaling Jaya, Selangor, 47410, MalaysiaCollege of Computing, Informatics and Media, Universiti Teknologi MARA Cawangan Negeri Sembilan, Kampus Seremban, 70300, MalaysiaGrowth 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.https://sciencetechindonesia.com/index.php/jsti/article/view/635/293airport check-inschedulingcounter allocationmulti-period model
spellingShingle Nur Haliza Md Alimuddin
Qatrunnada Noor Izzuddin
Muhammad Amirul Amat
Zati Aqmar Zaharudin
A Multi-Period Model for Optimal Changi Airport Check-In Counter Operations
Science and Technology Indonesia
airport check-in
scheduling
counter allocation
multi-period model
title A Multi-Period Model for Optimal Changi Airport Check-In Counter Operations
title_full A Multi-Period Model for Optimal Changi Airport Check-In Counter Operations
title_fullStr A Multi-Period Model for Optimal Changi Airport Check-In Counter Operations
title_full_unstemmed A Multi-Period Model for Optimal Changi Airport Check-In Counter Operations
title_short A Multi-Period Model for Optimal Changi Airport Check-In Counter Operations
title_sort multi period model for optimal changi airport check in counter operations
topic airport check-in
scheduling
counter allocation
multi-period model
url https://sciencetechindonesia.com/index.php/jsti/article/view/635/293
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