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Introduction to tools
Discrete Event Simulation
       Simulation versus Real Life Experimentation
      Simulation versus Other Mathematical Modelling Techniques
Failure Modes, Effects and Criticality Analysis
Reliability Centred Maintenance
Life Cycle Cost Analysis

Simulation versus Real Life Experimentation


Cost

Experimenting in real life is costly: not only the capital expenditure of hiring new staff or purchasing new equipment but also the cost of the ramifications of these decisions. Reducing staff may give a direct cost saving but if you find that you can't cope with the workload and you lose customers, long term profit is affected. The only cost with simulation is the software and the man hours to build the simulation.

Repeatability

In real life it is difficult to repeat exact operating circumstances; so you only get one chance to collect the results and you can't test different ideas under exactly the same circumstances. So that it is difficult to identify which idea is really the best. With simulation you can test the same system again and again with different inputs.

Time

If you want to know whether hiring another three technicians will reduce production backlog over the next two years you will actually have to wait two years. With simulation you can run 2, 10 or even 100 years into the future in seconds. So you get the answer now instead of when it's too late to do anything about it. There is a wide variety of tools and techniques that can be applied to achieve operational success; here is simple introduction to some of them:

:: Simulation versus Other Mathematical Modelling Techniques

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