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Simulation Modelling

Simulation modelling is used to study and manage complex systems with the aid of computers.
To solve a complex problem we follow this methodology:
  • Identify the problem
  • Develop a hypothesis on the causes of the problem
  • Build a computer model
  • Calibrate the model against real world data
  • Test the model under different scenarios to find a solution to the problem (ie Optimize)
  • Implement the solution
It is important to note that the goal of simulation modelling is not to model a system, but
rather to solve a particular problem.

Software Packages

It is often possible to model complex systems using spreadsheet packages, however the resulting spreadsheet can quickly become bloated, unstable and inflexible. At ISD we use two software packages called AnyLogic and iThink for our simulation modelling. Some of the benefits of iThink and AnyLogic are listed in the table below:



Closing Perspective

When we drive to work each day our experience reminds us of 'the best way' to arrive at our destination. Over time we have learnt there is a 'best way', among several other choices, that ensures we arrive on time and in one piece. However, when we have to go somewhere new, somewhere beyond our experience and control, we defer to our trusty road map.

Our choices are all laid out for us. We mentally configure, simulate and optimize our route to ensure we are not late and more importantly that 'we don't get lost'. We minimise our stress. We mentally manage that complex problem solving exercise. For most of us it is second nature. Our road map is a crucial piece of technology. It is a tool that gives us that all-
important sense of comfort in our choice. ISD uses the AnyLogic software to build a 'road map' of the processes at work in your business. AnyLogic captures and models for all to see, the common values and processes that have underwritten past and potential success in your system.