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Decision support for efficient ambulance logistics
Linköping University, Department of Science and Technology. Linköping University, The Institute of Technology.
SOS Alarm AB, Stockholm, Sweden.
Linköping University, Department of Science and Technology. Linköping University, The Institute of Technology.
2005 (English)Report (Other academic)
Abstract [en]

Ambulance logistics comprises everything that has to do with managing an efficient ambulance health care, which includes both emergency medical services and patient transportations. In this work, ambulance logistics is defined and discussed using the Swedish public service enterprise SOS Alarm as a basis. A number of ways of improving the ambulance logistic service provided by SOS Alarm is identified. Work that has been performed in two of the nine identified areas is described in more detail. In both of these two areas, the main improvement lies in the development of decision support tools for the ambulance dispatchers. The tools that are developed are a preparedness calculator, an ambulance dispatch tool a relocation tool and a simulation tool.

Place, publisher, year, edition, pages
Linköping: Department of Science and Technology (ITN), Campus Norrköping, Linköping University , 2005. , 15 p.
Series
ITN research report, ISSN 1650-2612 ; 1
Keyword [en]
Ambulance logistics, Preparedness, Dispatch, Relocation, Optimization, Simulation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-85908OAI: oai:DiVA.org:liu-85908DiVA: diva2:573705
Available from: 2012-12-03 Created: 2012-12-03 Last updated: 2012-12-03
In thesis
1. Decision support tools for dynamic fleet management: applications in airline planning and ambulance logistics
Open this publication in new window or tab >>Decision support tools for dynamic fleet management: applications in airline planning and ambulance logistics
2005 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In this work, decision support tools for dynamic fleet management problems are developed. The operational management tasks include dispatching, supervising and sometimes reconstructing the vehicle schedule. These tasks are often complex, while the time available to complete them is short. Therefore, decision support tools assisting the controller can be of great service.

Two studies on dynamic fleet management problems are presented. The first concerns airline planning and the problem of how to handle schedule perturbations. The second study is within the field of ambulance logistics, with focus on operational ambulance control.

For an airline, the flight perturbation problem arises when it is impossible to continue executing the original aircraft schedule, e.g. due to an aircraft breakdown. The flight controller then has to decide whether some flights have to be delayed or cancelled, or perhaps flights have to be reassigned to new aircraft. This is done in order to find an attainable, cost effective solution, where the airline can continue to serve the passengers. In this work, a decision support tool that can repair the aircraft schedule is suggested. The tool is based on a multicommodity network flow model with side constraints. A number of different solution strategies are suggested for the model, including heuristics based on column generation and meta heuristics utilizing path relinking. Computational tests show that several of the solution algorithms find near optimal solutions within a few seconds.

Ambulance logistics comprises most aspects of managing an efficient ambulance health care. This involves both emergency medical services and patient transportations. Controlling a fleet of ambulances includes deciding which ambulance to dispatch to a call. The controller also has to ensure that most or all parts of the area of responsibility can be reached by an ambulance in a short time. This is referred to as maintaining an adequate level of preparedness in the area. In this work, a way of calculating the preparedness is presented. It is incorporated into a number of decision support tools, including a dispatch tool and a relocation tool. The dispatch tool can suggest which ambulance to assign to a new call. The relocation tool suggests a way of relocating the ambulances, i.e. sending them to new locations, to increase the level of preparedness in the area. A simulation tool is also developed and used to study the effect of dynamically relocating ambulances. Furthermore, it is used to test if new locations for the ambulance stations will affect the waiting periods for the patients. The results show that the decision support tools have a positive effect on the system performance.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2005. 64 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 942
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-28405 (URN)13541 (Local ID)91-85297-91-7 (ISBN)13541 (Archive number)13541 (OAI)
Public defence
2005-05-20, K3, Kåkenhus, Campus Norrköping, Linköpings universitet, Norrköping, 13:15 (English)
Opponent
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2013-10-15Bibliographically approved

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Citation style
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