Simulation Operation Optimization Models provide the perfect method for quickly finding the best solution from a broad set of possibilities. You define a goal and the computer is allowed to do what it does best — crunch massive amounts of data and find the ultimate solution.

Simulation Operation Optimization Models — How they Work

Simulation Operation Optimization Models plot used to locate critical savings.

A graph of optimization progressing through “generations” of searches.

The concept is simple. Make the goal into a formula. Then allow the computer to search for the highest, lowest or targeted result of the formula. However, there are two complexities required to make this simple concept a reality:

  1. The method of creating the mathematical goal has to be effortless.
  2. Intelligent searching has to be used or the search will take forever (not really, but it will take a really long time).

The Simulation Operation Optimization Models use evolutionary algorithms. Evolutionary algorithms manipulate a population of solutions to a problem in such a way that poor solutions fade away and good solutions continually evolve in their search for the optimum. The bottom line is that unique solutions can be found without running all possibilities. You save time and still find the best of the best solutions.

Why Simulation Operation Optimization is Important?

We use simulation because system are complex. The systems we deal with often have thousands and even hundreds of thousands of solutions. Finding the best solution is difficult because a change in one area, of an interrelated system, creates problems in other areas. The solution is seldom linear or easy to spot. Simulation Operation Optimization Models allow us to find solutions that will provide real dollars to the bottom line with the lowest possible investment. The best part is that the optimization is free and can even be done while you are doing other things on the same computer.

Simulation Operation Optimization Models – How-To

Creating a Simulation Operation Optimization Model is not difficult. There are some specific steps to prepare a model and begin optimizing. The general overview for developing a Simulation Operation Optimization Model follows:

  1. Create a validated and verified model.
  2. Insert a scenario parameter for every item to be changed.
  3. Run the model and start SimRunner.
  4. Set up the objective function (The target).
  5. Describe the range of changes you will allow.
  6. Optimize the model.

To see detailed instructions for the optimization procedure go to the following blog article: Don’t leave money on the table. If you have any difficulty, contact support and set a time for some one-on-one assistance.

Simulation Operation Optimization Models are a fast and easy method to get the most out of your model, and everything you need is included in the latest version of ProcessModel.

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