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Forecasting Population Change with Simulation |
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This month we consider the application of SIMUL8 in forecasting population change and in particular a user project to forecast ‘Criminal Justice Populations in Texas’. We’ll also look into the benefits of our Direct Modeling Support service and how this helped to deliver the project. Read the full case study below. If you have a topic you would like to see covered or if you have any feedback on the SIMUL8 newsletter, please get in touch. |
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Achieve a Quicker ROI with SIMUL8 Direct Modeling Support |
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Direct Modeling Support (DMS) allows you to get the maximum benefit from your simulation project by giving you one to one access with our experienced SIMUL8 simulation consultants. With DMS you learn the skills needed to allow you to make decisions quickly through support in the development of simulations and analysis of results. Visit the website to learn more or contact us to discuss your project needs. |
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October Feature Article |
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Forecasting Population Change with Simulation |
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With the constant media focus on the strain of increasing populations on services and resources, the need to forecast change and plan accordingly has never been so important. Today many organizations use SIMUL8 software to forecast this change across a variety of different environments. The following case study looks at a user project to forecast the criminal justice population in Texas and was sent to us by Garron Guszak, Senior Criminal Justice Specialist at the Texas Legislative Budget Board. Garron and his team worked closely with our Direct Modeling Support to develop the simulation and deliver the project. |
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Forecasting Criminal Justice Populations in Texas |
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Over the last 20 years, the prison system in Texas has dramatically expanded, with significant investment made in increasing prison capacities. Despite this investment, the Texas department of Criminal Justice was still forced to contract with county jails to house around 2000 prisoners due to prison overflow, at a cost of $27.5 million per year. It was also forecasted that the number of prisoners would continue to grow if the existing policies remained, so ongoing strategic preparation for this growth was crucial. In an attempt to deal with the increase in population, the Texas Department of Criminal Justice requested $377.7 million for 4080 additional prison beds to be incorporated by 2012. However, this would still not be sufficient to handle the anticipated growth. It was therefore decided that rather than buying and creating space for additional beds, strategic reinvestment decisions would be made to try and reduce the demand for prison space. |
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The following components and capabilities were incorporated in the SIMUL8 simulation: |
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Inclusion of all these capabilities allowed for a flexible tool that could be used to test many different Texas Justice Reinvestment Scenarios both quickly and easily: |
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The Result |
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Having built, run and tested scenarios in the SIMUL8 simulation, key decisions were made based upon the results obtained. Lawmakers agreed to a plan where $221 million would be used for treatment and sanction programs. It was also determined that by implementing their proposed scenarios, future prison populations would be significantly lower than those previously forecasted. Going forward, the model will be used to help law makers and policy makers understand the connections between different segments of the criminal justice system, subsequently allowing for policy options to prepare for and alleviate the current projected growth in prison populations. This application is a classic example of how simulation can be used to predict performance, taking the risk out of decision making and preventing costly business errors. Working with SIMUL8 Direct Modeling Support allowed Garron and his team to reach more indepth conclusions and achieve faster results that ultimately delivered greater benefits for their organization. |
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