Increased reliability of investment decisions through dynamic modeling in the chemical industry

Initial situation

An international manufacturer of specialty chemicals had to increase its production capacity
Customer demand increased and the existing plant did not have sufficient capacity to meet market demand
Due to a complex product range, it was difficult to identify the production lines that needed to be expanded
The best compromise between the highest potential throughput/production output and the lowest investment had to be found
The best solution should be verified with a reliable method

Fast

Acceptance of the simulation results achieved

0 million €

Investment volume saved

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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