Delivering Reduced Risk Improvements to the Police
The Police Force has a long history of service to the community and its standards and traditions are as high as the public has a right to expect.
The Cheshire Constabulary was formed over 130 years ago in 1856 and is now responsible for policing an area of 232,850 hectares with a population of 980,000. Cheshire Constabulary have used SIMUL8 in several projects with great success.
“Using data from the existing force systems, SIMUL8 enables our Force to predict the benefits of demand management decisions. It has been a key tool in designing our operational policing model.” |
Superintendent Mick Garrihy, Force Review Team, Cheshire Constabulary |
Test Strategic Organizational Change
Cheshire Constabulary were implementing major strategic change and choose SIMUL8 to provide the analytical confidence to drive this change.
Cheshire’s response to the Local Policing Agenda has used SIMUL8 to assess response priorities, determine resource requirements for their Targeted Patrol Teams and release officers for their Neighborhood Policing Units.
SIMUL8 has helped demonstrate, in a risk free environment, the effect of implementing this change and provided the confidence to implement the proposals.
Assess Strategies for Call Handling Priorities
Several forces, have used SIMUL8 to model changes to call grading policy and assess how this will impact demand. SIMUL8 provides the ability to predict bottlenecks in the process, by category of call and assess the impact on service levels.
Determine impact on Crime Recording Bureau
A change in the role or procedures of the Call Management Bureau, or Targeted Patrol Teams for example, could have an impact on staffing requirements and performance levels in Central Crime Recording. SIMUL8 allows the impact of change in one area, or department of the Force, to be assessed in another.
Model Custody Suite Management Proposals
SIMUL8 provides the ability to assess the impact of proposed changes on Custody Suite capacity and staffing requirements. Peaks and troughs in availability can be assessed and this information used to inform planned operations of forecast excess capacity, and help influence operational policy.
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