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Norin, Anna
Publications (6 of 6) Show all publications
Norin, A., Andersson Granberg, T., Yuan, D. & Värbrand, P. (2012). Airport logistics - A case study of the turn-around process. Journal of Air Transport Management, 20, 31-34
Open this publication in new window or tab >>Airport logistics - A case study of the turn-around process
2012 (English)In: Journal of Air Transport Management, ISSN 0969-6997, E-ISSN 1873-2089, Vol. 20, p. 31-34Article in journal (Refereed) Published
Abstract [en]

This paper studies the effects of different optimization objectives when scheduling de-icing services at Stockholm Arlanda airport. The optimized schedule is tested using a simulation model of the turnaround process. The results demonstrate that the schedule taking into account overall airport performance results in less delay than one targeted solely at the performance of the de-icing process.

Place, publisher, year, edition, pages
Elsevier, 2012
Keywords
Airport logistics, Aircraft de-icing, Aircraft turn-around
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-76797 (URN)10.1016/j.jairtraman.2011.10.008 (DOI)000302046400011 ()
Available from: 2012-04-20 Created: 2012-04-20 Last updated: 2018-02-16
Norin, A., Yuan, D., Andersson Granberg, T. & Värbrand, P. (2012). Scheduling de-icing vehicles within airport logistics: a heuristic algorithm and performance evaluation. Journal of the Operational Research Society, 63(8), 1116-1125
Open this publication in new window or tab >>Scheduling de-icing vehicles within airport logistics: a heuristic algorithm and performance evaluation
2012 (English)In: Journal of the Operational Research Society, ISSN 0160-5682, E-ISSN 1476-9360, Vol. 63, no 8, p. 1116-1125Article in journal (Refereed) Published
Abstract [en]

Most delays in the air transport occur at the airport. A particular reason is the complexity of managing the large number of supporting flows in airport logistics. We consider the optimisation problem of scheduling de-icing vehicles that is one of the key supporting logistic flows in the turn-around process of aircraft. The objective is to minimise the delay of flights due to de-icing, and the travel distance of the de-icing vehicles. We study the complexity of the problem, and develop a solution algorithm using greedy randomised adaptive search. A case study of real-life data from Stockholm Arlanda Airport shows that optimised schedule leads to significantly better performance in comparison to intuitive and simple scheduling strategies. The benefit of optimisation in reducing the waiting time for de-icing is further demonstrated via dynamic simulations.

Place, publisher, year, edition, pages
Palgrave Macmillan, 2012
Keywords
air transport; logistics; multi-objective; planning; vehicle routing; heuristics
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-79652 (URN)10.1057/jors.2011.100 (DOI)000306286500008 ()
Available from: 2012-08-14 Created: 2012-08-13 Last updated: 2017-12-07
Andersson Granberg, T., Norin, A., Värbrand, P. & Yuan, D. (2009). Integrating optimization and simulation to gain more efficient airport logistics. In: Eighth USA/Europe Air Traffic Management Research and Development Seminar (ATM2009) (pp. 1-10).
Open this publication in new window or tab >>Integrating optimization and simulation to gain more efficient airport logistics
2009 (English)In: Eighth USA/Europe Air Traffic Management Research and Development Seminar (ATM2009), 2009, p. 1-10Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we present airport logistics, which is a framework of resource management in the air transportation system. Focus is on the processes supporting turn-around. A detailed simulation model of various processes involved in turn-around is developed, by which the interaction between these processes are analyzed. We show that integrating optimization and simulation is a powerful tool to demonstrate efficiency improvements in airport logistics, using scheduling de-icing trucks as an example. An optimization algorithm for scheduling de-icing trucks is developed and simulations are performed comparing different schedules. The schedule obtained when considering total airport performance in the optimization algorithm gives minimum flight delay and waiting times in the simulations.

Keywords
airport; logistics, simulation, optimization, de-icing, turn-around
National Category
Computational Mathematics Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:liu:diva-50946 (URN)
Projects
Airport Logistics
Available from: 2009-11-03 Created: 2009-10-15 Last updated: 2013-10-15Bibliographically approved
Norin, A. (2008). Airport Logistics: Modeling and Optimizing the Turn-Around Process. (Licentiate dissertation). Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Airport Logistics: Modeling and Optimizing the Turn-Around Process
2008 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

The focus of this licentiate thesis is air transportation and especially the logistics at an airport. The concept of airport logistics is investigated based on the following definition: Airport logistics is the planning and control of all resources and information that create a value for the customers utilizing the airport. As a part of the investigation, indicators for airport performance are considered.

One of the most complex airport processes is the turn-around process. The turn-around is the collective name for all those activities that affect an aircraft while it is on the ground. In the turn-around process almost all of the actors operating at the airport are involved and the process is connected to other activities which take place on airside, in the terminal as well as in the control tower. This makes the turn-around process an excellent focal point for studying airport logistics.

A detailed conceptual model of the turn-around process is developed and a simplified version of this is implemented in a computerized simulation program. The aim of the simulation is to enable the assessment of various logistical operations involved in turn-around, and their impact on airport performance. The flow of support vehicles serving the aircraft with fuel, food, water etc during the turn-around is received particular attention. The output from the model can be used as indicators for the airport performance.

One of the most interesting support flows to study is the flow of de-icing trucks. De-icing is performed to remove ice and snow from the aircraft body and to prevent the build up of new ice. There is a limited time span prior the take off, within which de-icing has to be performed. This makes the time of service critical. An optimization approach is developed to plan a schedule for the de-icing trucks. Scheduling the flow of de-icing trucks can be seen as a heterogeneous vehicle routing problem with time windows. The objective of the optimization is total airport performance and a heuristic method is used to solve the problem.

The optimized schedule for the de-icing trucks is used as input in the simulation model. The schedule optimized for the entire airport is compared to a schedule based on a simpler scheduling rule as well as a schedule optimized for the de-icing company. By running the model with the different routings, it is found that the schedule optimized for the entire airport gives the best results according to the indicators specified for measuring airport performance.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2008. p. 87
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1388
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-16316 (URN)LIU-TEK-LIC-2008:46 (Local ID)978-91-7393-744-3 (ISBN)LIU-TEK-LIC-2008:46 (Archive number)LIU-TEK-LIC-2008:46 (OAI)
Presentation
2008-12-02, K3, Kåken hus, Campus Norrköping, Linköpings universitet, Norrköping, 08:15 (Swedish)
Opponent
Supervisors
Available from: 2009-01-14 Created: 2009-01-14 Last updated: 2009-01-15Bibliographically approved
Norin, A., Andersson, T., Värbrand, P. & Yuan, D. (2007). A GRASP Heuristic for Scheduling De-icing trucks at Stockholm Arlanda Airport. In: 6th Eurocontrol Innovative Research Workshop and Exhibition,2007.
Open this publication in new window or tab >>A GRASP Heuristic for Scheduling De-icing trucks at Stockholm Arlanda Airport
2007 (English)In: 6th Eurocontrol Innovative Research Workshop and Exhibition,2007, 2007Conference paper, Published paper (Other academic)
Abstract [en]

It is a fact that the most delays in the Air Transportation System (ATS) today occur at the airport. One reason for this is the large number of actors operating at the airport and the scarcity of communication between them and other parts of the ATS. Airport Logistics is a concept developed to survey all the flows of ehicles, people, material and information, which can be found on and around the airport. The objective is to increase efficiency, where one part is to decrease the delays. As an initial step, the turn-around process is analysed and an optimization model for the planning of de-icing trucks is implemented. The model shows that large savings can be made both by reducing the travelling distances for the trucks and reducing the delays the de-icing process is causing the ATS. However, most important is the advantage of having a plan for how the de-icing trucks should be utilized, something that is missing today.  

Keywords
Air Traffic Management, Airport Logistics, Resource Management, Optimization and Simulation, GRASP
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-40856 (URN)54317 (Local ID)54317 (Archive number)54317 (OAI)
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-10-15
Norin, A., Andersson, T., Värbrand, P. & Yuan, D. (2007). Intelligent Air Transportation - A Resource Management Perspective. In: 14th world congress on intelligent transport systems,2007. Beijing: Ministry of communications
Open this publication in new window or tab >>Intelligent Air Transportation - A Resource Management Perspective
2007 (English)In: 14th world congress on intelligent transport systems,2007, Beijing: Ministry of communications , 2007Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we look at the air transportation system from a resource management perspective. In particular, we introduce the concept airport logistics, with the general focus of efficiently managing all the logistic activities and processes at, or nearby, an airport. One important goal is to utilize and process the available information for intelligent resource management. Some previous research in the air transportation system area is reviewed and classified into three categories; airline operations, airport operations and air traffic management. A conceptual framework of a decision support system is presented and motivated with a clear emphasis on the airport system.

Place, publisher, year, edition, pages
Beijing: Ministry of communications, 2007
Keywords
Intelligent Transportation Systems, Airport, Air Traffic Management, Logistics, Resource Management, Decision Support, Resource Optimization, Simulation
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-39383 (URN)48131 (Local ID)48131 (Archive number)48131 (OAI)
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-10-15
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