Minimizing inconsistencies in airport common-use checking counter assignments with a variable number of counters

Yan, Shangyao; Chang, Kai Cheng; Tang, Chin Hui

doi:10.1016/j.jairtraman.2004.09.006

Cited by 12 publications

(6 citation statements)

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“…One of the first works specifically devoted to check-in management optimization was the one by Park and Ahn (2003), which proposed a procedure to calculate the appropriate number of check-in counters and their operating times, through a deep analysis of passengers arrival distribution and processing patterns. Yan et al (2004) and Yan et al (2005) tackled the problem of assigning flights to blocks of check-in counters, considering various objective functions, such as the total passenger walking distance and a so-called inconsistency term, evaluating whether flights having some common characteristics are assigned to different counter locations. Van Dijk and Van Der Sluis (2006) highlighted the potential of combining stochastic and deterministic approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

A decision support system to improve performances of airport check-in services

et al. 2018

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The recent remarkable increase in air passenger traffic has been fostering a considerable congestion of the airport facilities. In this context, traditional procedures employed for check-in operations have been supporting by alternative methods, based on the use of self-service options (kiosks, web services, app for mobile phones, etc). However, even if such innovations are contributing to improve the service level provided to passengers, field investigations suggest that traditional procedures will be employed also in the future, especially for medium and long-haul flights, where baggage dropping is required. For this reason, the passengers allocation problem at check-in counters is attracting growing attention by the scientific community and several decision support tools, involving both optimization and simulation methods, have been proposed. Most of the available approaches aim at deciding the optimal number of check-in counters to be activated, in such a way to balance the operative costs and passengers waiting times. Such approaches assume that the service capacity (in terms of available check-in operators and counters) is given and determined on the basis of physical constraints (related to the available space in the terminal) and of staff scheduling decisions made at a tactical level. The present contribution tries to over

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Section: Literature Reviewmentioning

confidence: 99%

A decision support system to improve performances of airport check-in services

et al. 2018

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“…Such inconsistencies need to be reduced to a minimum, because Journal of the Chinese Institute of Engineers 647 they will have an influence on passenger check-ins, the convenience of airline operations, and the airport's level of service (Yan, Chang, and Tang 2005). Therefore, in this article, our objective is to minimize the total number of inconsistencies.…”

Section: Inconsistencymentioning

confidence: 99%

“…In practice, these inconsistency values are flexible and adjustable for different applications. To be reasonable and applicable to the TTY Airport, we design the three inconsistency values in reference to Yan, Chang, and Tang (2005) and Yan, Tang, and Chen (2008), which explored CUCC assignment and reassignment problems based on the TTY Airport operations. The three inconsistencies, based on the configuration of the TTY Airport, are estimated as follows.…”

Section: Inconsistency Valuementioning

confidence: 99%

“…Constraint (4) is used to calculate the continuity inconsistency value for a nonvariable flight between every two consecutive time intervals. This constraint is designed according to Yan, Chang, and Tang (2005). Constraint (5) ensures that every service line is assigned to at most one flight in any time interval.…”

Section: Model Formulationmentioning

confidence: 99%

“…We only found works by Chun (1996), Chun and Mak (1999), Yan, Tang, and Chen (2004), Yan, Chang, and Tang (2005), Duin and van der Sluis (2006), van Dijk and van der , and Tang (2010). We found that these studies have focused on daily or monthly CUCC planned assignment problems.…”

Section: Introductionmentioning

confidence: 99%

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Common-use check-in counter reassignments with a variable number of service lines and variable length of time window

Yan

Tang

Chen

2014

Journal of the Chinese Institute of Engineers

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In the real world, there are a number of common factors that can cause perturbations at check-in counters, such as an airport closure, a temporary power failure, crashing of the counter computer, baggage conveyor belt malfunctions, and so on, forcing the airport authority to reassign flights to new check-in counters. In this study, we develop a model and a solution method to solve common-use check-in counter reassignment problems with a variable number of service lines and a variable length of time window. To test how well the proposed model and the solution method can be applied to the real world, we perform numerical tests based on a hypothetical incident in relation to a Taiwan airport's operations. The test results show that the model and solution would be useful for the airport authority in actual operations.

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