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, required personnel and necessary investment)
Model the as-is situation using existing or alternative product mix, units, and layout
Define target states including alternative layouts and production setups and add them to the simulation model
Simulate different alternatives using statistical experiments that also take typical variations into account

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All cases

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