Dynamic allocation of check-in facilities and dynamic assignment of passengers at air terminals

Hsu, Chaug‐Ing; Chao, Ching-Cheng; Shih, Kun-Yao

doi:10.1016/j.cie.2012.04.003

Cited by 31 publications

(17 citation statements)

References 13 publications

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“…In the context outlined above a number of issues have been studied in the literature including: time-savings (IATA, 2006) and passenger satisfaction gained by self service (Wittmer, 2011), new baggage handling methods (Rijsenbrij and Ottjes, 2008), optimized check-in (Hsu et al, 2012) and security operations (Lee and Jacobson, 2011), efficiency using passenger segmentation (Babu et al, 2006;Nie, 2011;Majeske and Lauer, 2012;Nie et al, 2012) and shared use of facilities (de Neufville and Odoni, 2002;ACRP, 2008).…”

Section: Introductionmentioning

confidence: 98%

Future airport terminals: New technologies promise capacity gains

Kalakou

Psaraki-Kalouptsidi

Moura

2015

Journal of Air Transport Management

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Section: Introductionmentioning

confidence: 98%

Future airport terminals: New technologies promise capacity gains

Kalakou

Psaraki-Kalouptsidi

Moura

2015

Journal of Air Transport Management

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“…Hsu et al. () consider a very different problem concerning check‐in counter utilization. They assume that all possible modes of check‐in are available (i.e., counter check‐in, self‐service check‐in kiosks, online check‐in, and barcode check‐in) for use by the passengers.…”

Section: Literature Reviewmentioning

confidence: 89%

Event‐based allocation of airline check‐in counters: a simple dynamic optimization method supported by empirical data

Parlar

Rodrigues

Moosa

2016

Int Trans Operational Res

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This paper studies the real‐life problem of dynamically optimizing the number of airport check‐in counters to allocate for a single flight. The main feature of our work is the use of empirical data collected at the Singapore Changi Airport, which drives the dynamic optimization model of a parallel queues system. We propose an event‐based dynamic programming model that simplifies considerably the optimization analysis even for large‐scale problems with 700+ booked passengers. We investigate the following research questions: (a) For a particular flight, what is the optimal number of counters the system should open with and what is the corresponding optimal total cost? (b) Given the state of the system at any event epoch, should we open another counter or not and what is the optimal cost‐to‐go from this state? The empirical data we collected at the airport are used to test the assumptions, estimate the key parameters, and run the computational experiments. We apply our model to 14 flights at the Singapore Changi Airport and identify cases in which, depending on the cost parameters, the model advocates the use of either a dynamic or a static policy. Although the model concerns only an exclusive‐use system, it is flexible enough to apply to other configurations such as a common‐use system or a single‐queue, multicounter system.

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“…It can't make decisions and solve several problems. Furthermore, dynamic allocation of check-in facilities is also more efficient than fixed allocation in achieving shorter waiting times and better utilization in sufficing services to passengers (Hsu, Chao, & Shih, 2012).…”

Section: Type Of Facilitiesmentioning

confidence: 99%

“…Source : (Hsu, Chao, & Shih, 2012) Source : (Hsu et al, 2012) Indonesian domestic airlines should consider to using self and mobile check-in to mitigate long queue during peak hours. Airlines don't need to replace all counters with SST but they should arrange the strategy about combination services between normal counter and self and mobile check-in.…”

Section: Type Of Facilitiesmentioning

confidence: 99%

Self and Mobile Check-in Are Playing Important Role in Increasing Customer Satisfaction

Putri¹,

Widyastuti²

2018

Proceedings of the Conference on Global Research on Sustainable Transport (GROST 2017)

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Self and mobile check-in are widely known and implemented in air transportation all over the world. If self and mobile check-in were implemented well, it will give impact on short waiting time and easiness for passengers. This paper analyze how important self and mobile check-in for improving customer satisfaction in domestic airlines. As we know that it takes a time to queue in checkin counter. It will wasting time for passengers. This paper is using descriptive quantitative approach with Cartesius Diagram Analysis. According to Cartesius data, found that customer more satisfied with self and mobile check-in compared to the normal one. The sample being used is random sample. Based on the result, self and mobile check-in could improve customer satisfaction.

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Dynamic allocation of check-in facilities and dynamic assignment of passengers at air terminals

Cited by 31 publications

References 13 publications

Future airport terminals: New technologies promise capacity gains

Future airport terminals: New technologies promise capacity gains

Event‐based allocation of airline check‐in counters: a simple dynamic optimization method supported by empirical data

Self and Mobile Check-in Are Playing Important Role in Increasing Customer Satisfaction

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