Now showing items 1-8 of 8
A Lagrangian relaxation approach to large-scale flow interception problems
The paper presents a tight Lagrangian bound and an efficient dual heuristic for the flow interception problem. The proposed Lagrangian relaxation decomposes the problem into two subproblems that are easy to solve. Information ...
Approximating vehicle dispatch probabilities for emergency service systems with location-specific service times and multiple units per location
To calculate many of the important performance measures for an emergency response system, one requires knowledge of the probability that a particular server will respond to an incoming call at a particular location. ...
Telecommunications network design with multiple technologies
(Springer Science+Business Media, 2011-02)
In this paper we consider a telecommunications network design problem allowing for multiple technologies. The problem arises in wide-area network and metro-area network design for which a combination of Technologies may ...
Optimal ambulance location with random delays and travel times
(Springer Science+Business Media, 2008-09)
We describe an ambulance location optimization model that minimizes the number of ambulances needed tonprovide a specified service level. The model measures service level as the fraction of calls reached within a given ...
Designing new electoral districts for the city of Edmonton
Every few years, the city of Edmonton, Canada must review and evaluate changes to its electoral district boundaries. The review process that was completed in 2009 resulted in modifying the district plan from a six-ward ...
Scheduling ambulance crews for maximum coverage
(Palgrave MacMillan, 2010-04)
This paper addresses the problem of scheduling ambulance crews in order to maximize the coverage throughout a planning horizon. The problem includes the subproblem of locating ambulances to maximize expected coverage with ...
Ambulance location for maximum survival
This article proposes new location models for emergency medical service stations. The models are generated by incorporating a survival function into existing covering models. A survival function is a monotonically decreasing ...
Computational comparison of five maximal covering models for locating ambulances
This article categorizes existing maximum coverage optimization models for locatingambulances based on whether the models incorporate uncertainty about (1) ambulanceavailability and (2) response times. Data from Edmonton, ...
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