Estimating the mean waiting time in airports through cooperative disaster response operations

Choi, Sun-kyung; Hanaoka, Shinya

doi:10.1016/j.jairtraman.2017.05.010

Cited by 7 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the Air Mobility Center's increasing role in humanitarian airlift operations, studies and policies have been written for them. Airfield space planning is covered in Choi and Hanaoka (2017b). Mogilevsky (2013) developed a model of DRO airlifts that considers transport between multiple locations but does not model individual airports in detail.…”

Section: Airport Scheduling Literaturementioning

confidence: 99%

Feeding the bottleneck: airport congestion during relief operations

Veatch

Goentzel

2018

JHLSCM

View full text Add to dashboard Cite

Purpose Scheduling the airlift of relief supplies into a damaged or small airport during a crisis is complex yet crucial. The volume of cargo and flights can temporarily overwhelm the airport’s capacity and the mix of flights adds complexity. The purpose of this paper is to better characterize airport operations during a crisis, to develop a model that can assess strategies for scheduling flights and to draw implications for decision makers. Design/methodology/approach First, empirical data are analyzed to characterize airport operations. Previously unreported data from the 2010 Haiti earthquake response in the form of a “flight log” are analyzed to provide new insights and parameters. Alternate scheduling strategies are drawn from review of the literature and After Action Reports. Second, a queuing model is developed to understand operations in past crises and predict the impact of alternate scheduling strategies. Empirical data provide the parameters for airport scenarios evaluated. Findings Unloading capacity is seen to be the bottleneck but also to not be fully utilized, suggesting that a more aggressive flight schedule is needed. Scheduling flights is shown to be a tradeoff between volume of aid delivered and flights that must be diverted. The proper mix of aircraft and prioritized divert policies also provide benefits. Finally, it is beneficial, though perhaps counterintuitive, to create a parking buffer upstream from the unloading bottleneck. Originality/value Analysis of previously unreported data from the Haiti earthquake provides new insights regarding airport parking and unloading operations. A new model of airport scheduling for disaster response is proposed. The model differs from other humanitarian airlift models in that it focuses on aircraft parking and unloading. It differs from commercial aircraft scheduling and gate assignment in the objective used.

show abstract

Section: Airport Scheduling Literaturementioning

confidence: 99%

Feeding the bottleneck: airport congestion during relief operations

Veatch

Goentzel

2018

JHLSCM

View full text Add to dashboard Cite

show abstract

“…Although actual disaster response operations would ideally conform to this model, this is not always the case. In the Great East Japan Earthquake, the findings of Hanaoka et al [10] revealed that refueling was one of the biggest bottlenecks in the airport because the airport sometimes lacks the necessary fueling capacity, so that aircraft had to wait up to 60 min. The biggest waiting time difference, including service time, was 28.54 min, as obtained by subtracting the runway waiting time (9.43 min) from the rescue operation (37.97 min).…”

Section: Information Collection (I)mentioning

confidence: 99%

“…Polater [8] conducted a systematic literature review of airport disaster-management capabilities in non-aviation related disasters and emphasized airport capacity utilization in airports.However, as a point-of-entry, an airport will usually struggle to accommodate excessive demands within its limited capacity constraints, especially related to available airside space [9]. Furthermore, airport congestion causes additional waiting for aircraft within the airport [10]. An aircraft usually has to wait in the airport for a long time before starting its disaster response mission.…”

mentioning

confidence: 99%

Prediction of Aircraft Waiting Time at Airport During Immediate Response to Disaster

Choi

Hanaoka

2019

Aerospace

Self Cite

View full text Add to dashboard Cite

Air transportation is especially critical to the immediate response that must be provided after a natural disaster strikes a region. Airport operations are hindered by fluctuating waiting times across different operation types because of bottlenecks caused by unexpected amounts of aid goods, aircraft, and emergency workers. To address this problem, this study proposes a model for estimating the waiting time of an aircraft at an airport during the immediate response phase after a disaster. The proposed framework was developed by applying an open Jackson network with first-come first-served, priority, and mixed-queuing disciplines. These disciplines are compared through a numerical example based on data acquired from the Great East Japan Earthquake of 2011. The results indicate that the mixed-queuing discipline reduces the waiting time for higher-priority operators, with permissible waiting times for lower-priority operators. The results of this study reveal that various disaster response operations should be prioritized ahead of a natural disaster occurring, such that the waiting times for those operators involved in life-saving activities can be reduced.Aerospace 2019, 6, 40 2 of 17 the Red Cross (IFRC), the United Nations Humanitarian Response Depot (UNHRD), and the United Nations Development Programme (UNDP) have developed airport plans to enable international responses to regional disasters [4][5][6][7]. Polater [8] conducted a systematic literature review of airport disaster-management capabilities in non-aviation related disasters and emphasized airport capacity utilization in airports.However, as a point-of-entry, an airport will usually struggle to accommodate excessive demands within its limited capacity constraints, especially related to available airside space [9]. Furthermore, airport congestion causes additional waiting for aircraft within the airport [10]. An aircraft usually has to wait in the airport for a long time before starting its disaster response mission. The organizational complexity inherent to the tactical assignment of the tasks in an airport hinders humanitarian responses. In usual airside operations, an aircraft turnaround consists of five major tasks such as deboarding, catering, cleaning, fueling, and boarding as well as the parallel processes of unloading and loading [11]. Aircraft turnaround has been accepted as significant for airside operation, so minimizing delay propagation was analyzed in the previous study [12]. Due to its diverse composition of actors, this process is very complicated and therefore calls for Collaborative Decision Making (CDM), a concept that is accepted and has recently been shared globally [13].In a similar way, multiple stakeholders, such as medical helicopters, military, police, broadcasting, and others, are involved in different disaster response missions. Hanaoka et al. [14] determined that bottlenecks in an airport originate both on the ground and in the air for several reasons: aircraft are operated by different organizations, certain operators are n...

show abstract

“…It is proven that in this problem, there is an optimal policy that has a threshold form by formulating the problem as a Markov decision process. Another study was conducted by Choi and Hanaoka (2017) to estimate the reduction of waiting time at the airport during disaster response operations. Open Jackson queueing network estimates the reduced airplane waiting time at each airport.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Jackson Queueing Network in General Polyclinic and Dental Polyclinic Patient Services at Jelekong Health Center

Rasyid,

Supian,

Nahar

2023

ijgor

View full text Add to dashboard Cite

The buildup in the service system is generally caused because service facilities cannot meet service needs, so service users need time to use the facilities. Health Center is one of the facilities that provide services in the health sector. However, the number of doctors needed in health centers in Indonesia has yet to be met, and the number of patients who are never empty every day causes a buildup in the service system. The application of the service network system using the open Jackson queueing network can model the optimal service system and analyze its performance. The observation method was used to observe patients' arrival and departure times at the Jelekong Health Center, especially in the registration section, general polyclinic, dental polyclinic, and pharmacy, for three days. There was an increase in patient waiting time before being served and time in the system at the general polyclinic after implementation, so one additional service facility was added. Meanwhile, the dental polyclinic experienced decreased patient waiting time before being served and time in the system, so there was no need to add service facilities.

show abstract

Estimating the mean waiting time in airports through cooperative disaster response operations

Cited by 7 publications

References 13 publications

Feeding the bottleneck: airport congestion during relief operations

Feeding the bottleneck: airport congestion during relief operations

Prediction of Aircraft Waiting Time at Airport During Immediate Response to Disaster

Implementation of Jackson Queueing Network in General Polyclinic and Dental Polyclinic Patient Services at Jelekong Health Center

Contact Info

Product

Resources

About