The dry grinding process (DGP) could be considered as a particular complex production system. Traditionally the design of this process has been based on heuristics. We attempt to find the nearest optimal design of a DGP choosing the model and number in every stage for the machines and buffers that can minimize investment and energy cost with a reasonable service level (SL). To solve the problem, a genetic algorithm and a simulation model to evaluate the SL along the time are proposed. The viability of the approach has been tested with three real cases and encouraging results have been obtained.
Suárez, I. O. L., & Oliveros-Colay, M. J. (2015). System Machine Selection in a Dry Grinding Process: Cost and Energy Savings. In Procedia Engineering (Vol. 132, pp. 31–38). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2015.12.465