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| Introduction to tools Failure Modes, Effects and Criticality Analysis Reliability Centred Maintenance Life Cycle Cost analysis  Discrete Event SimulationSimulation versus real life experimentation Simulation versus other mathematical modelling techniques |
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Discrete Event SimulationWhen you run a simulation model you see the work that you do (products, patients, paper work etc.) move around the organization; the clock in the corner of the screen tells you what the equivalent time would be in the real system. Simulation is animated enabling visualisation of a new facility and a greater ability to visualise the impact of experiments in an existing facility. You can see key bottlenecks, over-utilized resources and under resourced elements of a system. The software automatically collects performance measures as the model runs so that you can not only see visually what will happen, you can also get accurate numerical results to prove your case.What can be simulated?There are many scenarios that can be simulated: as a general rule systems that involve a process flow with discrete events can be simulated. So any process you can draw a flowchart of you should be able to simulate. The processes you'll gain most benefit from simulating are those that involve change over time and randomness. For example, a filling station: nobody can guess at exactly which time the next car will arrive at the station, whether they will decide to purchase petrol only or other goods. Modelling complex dynamic systems like this effectively in any other way is not possible.Why simulate?There are many process improvements that can be made using simulation: higher quality and efficiency from capital assets, better management of inventory, higher return on assets this list is endless. But some of these improvements could be made without simulation, so an important question is 'Why use simulation instead of another method?':: Simulation versus Real Life Experimentation :: Simulation versus Other Mathematical Modelling Techniques |
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