Optimisation Models
An optimisation model finds the best possible choice out of a set of alternatives given an objective defined in quantitative terms. The alternatives are frequently restricted by constraints on the values of the variables, and the optimisation objective itself needs to be carefully defined to reflect the efficiency and effectiveness aims of the service.
ORH has developed its own unique optimisation model (OGRE – Optimising by Genetic Resource Evolution) based on the well-researched technique of genetic adaptation. The model’s flexibility means that it can be easily adapted for use in a large variety of location and deployment scenarios.
The key advantages of using OGRE to inform planning are that it:
- evaluates millions of deployment and location options in minutes;
- identifies the scope for operational efficiencies;
- finds optimal solutions that minimise response and/or access times;
OGRE can be used to identify optimum locations for vehicles, depots, or other facilities. The model is run by ORH consultants and outputs are then discussed with the client. OGRE is fully customisable and can be tailored to the specific needs of the individual client.
Comprehensive workload analysis is undertaken to provide operational modelling inputs alongside detailed travel times. The client specifies the criteria and any locations and deployments that are to remain fixed in the model runs.
OGRE can be used to consider any combination of vehicles/appliances, crewing and stations in finding the optimal solution. OGRE can be used to produce a ranked list of options for appraisal, which when supported by simulation modelling, provide clear and concise results.
