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Project Development


If a complex production plant is to be analysed, there are limitations while working in  mathematical-analytical models. This is because of multiplicity in time – and random system sizes and partial complicated reciprocal effects of the resources In an assembly plant many processes run parallely and meaningful results with static computations is hardly obtained. Presently, the only possible way to attain the desired results is to employ computer aided factory simulation. With this method one can examine completely the most diverse questions in production plants.

The individual study of simulation is studied in the illustration.  Each study begins with the definition of the planning tasks. The worth of simulation must be examined. Formulation of tasks holds the results that are determined using the simulation. Formulation of tasks is followed by the system analysis. Here, all the necessary data for study is analysed.  The essential datas are the system data like quantities and dates, Organisational data like strategy or restriction, technical data like layouts or performance data of machines. After these data acquisition the model building of the actual simulation model takes place. It means the conversion of the thought model to formal, pre-defined structures of the universal model in the form of programming languages, or graphical interactive input structures or in free graphics.

The verification procedure consists of examining the model and verifying if it works in a manner for which it was created.  If it behaves differently, the re-modelling is done. If the verification is done, the model is examined whether it behaves the same as the reality. If the real plant is not achieved, the planners decide together if it is sufficient for their requirements. This procedure is called as Validation. After this is done, the next stage is actual simulation testing where the simulated model is executed.  The Simulation results are regarded as the result Analysis. Mostly, there exists a iterative process between the model experiment and analysed result.  Mostly the discussion of all partners accomplishes the evaluation of the results. Here a decision is made on whether any necessary alternatives and/or change of task is required.

At the end of each simulation, the result transformation takes place. Every task is taken over by the data acquisition, eg: the speed parameters or the control programs are documented.