Simulation modelling

We have developed over 40 simulation models in recent years.

They offer a very different approach to tackling some entrenched problems.

We have also included some simple models for you to play with and get used to the principles of System Dynamics. We hope you enjoy them.

We are keen to give people a hands-on experience of modelling and on this page can provide you with an opportunity to play. 

We are developing a range of sample models that are easy to use. The first group of 4 below were developed in the context of a paper we did recently on Social Care Modelling with the SSCR (see our Publications section for the full report). . 

Simply click on one of the model headings below - the model will load in 'Netsim' in a new tab in your browser; just follow the onscreen instructions from there. 

Model 1 – Simple Population

When the webpage opens, you will also see a basic stock-flow diagram, one of the core elements of a System Dynamics Model, like this;

Following the 'next' button will take you to a screen where you can make your model runs. The results will be displayed on graphs - like these. 

We realise that in practice no real population behaves like this - it is just a way of showing you how these models operate.

Model 2 - Simple Service

The subject of this model is any health or social care service (could be a GP clinic, a Community Psychiatric Nurse, a Hospital Outpatient department – anything similar). It models referral rates and the length of stay. Try pausing the model regularly and changing the control variables. Can you predict which lines will change and why?

Model 3 - Simple Service with Capacity

This is a version of Model 2 but with a capacity constraint added, so a little bit closer to a real situation. It is an exercise in avoiding waiting lists.

Model 4 - Two Capacities

In this model you need to try to ‘unblock’ the hospitals beds, possibly with the use of a ‘joint’ health and social care budget

The models we build are generally more complex (they need to reflect complex worlds after all) but they share the same principles as those behind these simple examples.