Based on “what if” analysis, simulation allows to reproduce processes virtually to study their behavior, to analyze the impact of possible changes or to compare different design alternatives without the high cost of scale experiments.
The final objective is to get the optimal process configuration at minimum cost and to get strategic adaptability to maximize efficiency and productivity.
Overview of process analysis through dynamic simulation
We use simulation techniques to analyze actual processes (improve and optimize) and future processes (anticipate solutions) in order to get the most efficient process design with different objectives:
- Resources optimization.
- Investment validation.
- Identification of process restrictions.
- Critical points (bottle necks) analysis.
- Evaluation of process design alternatives.
- Facilities design evaluation to suit the manufacture of new models.
- Maximum capacity analysis.
- Estimation of efficiency / productivity.
- Simulation of extreme conditions.
Other of the additional benefits of simulation is to allow the exchange of information between departments in the enterprise. The model reproduces the processes on the computer, and provides a unified point of view for the technical evaluation of operational scenarios, avoiding the cost and effort that would do with the real system.
Simulation can complement other planning and scheduling systems to validate plans and to confirm schedules to run the operation with better efficiency.
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