Improvement of investment decision reliability through dynamic modelling simulations in the chemical industry

Initial situation

An international producer of specialty chemicals needed to increase production capacity
Customer demand was growing, and the existing plant had insufficient capacities to meet market demand
Due to a complex product mix it was difficult to identify the production lines in need of expansion
The best compromise between the highest potential throughput/production output and the lowest possible investment had to be determined
A reliable method was needed to verify the best solution

Fast

Acceptance of simulation results achieved

0 Mio. €

Reduction in investments achieved

Goals

Fully achieved

Develop a simulation model to evaluate the best solution based on defined criteria (existing and alternative product mixes, energy consumption, personnel required and investment needed)
Model actual situation based on current or alternative product mix, units and layout
Define target state including alternative layouts and production concepts and integrate them into the model
Simulate different alternatives using a statistical experimental approach, consider typical fluctuations

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All cases

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