SAESL commissioned SimPlan to set up a suitable simulation model, to conduct a simulation study to answer the questions posed, and to train SAESL employees to use the simulation independently within the company.
The simulation was to generate a realistic order volume for the future based on forecasts. This program had to take into account a suitable distribution of engine types on the one hand and a conservative estimate of the repairs to be handled on the other. Another challenge was to map the type-dependent process times for the individual engine disassembly and assembly steps as well as the dynamic allocation of personnel and tools.
In module repair, we started with an initially rough mapping that simulated the fluctuating process times of the individual modules based on the engine and machining type (testing only, individual repairs, or full engine overhaul). We were able to take the required parameters from the diagrams in the value stream mapping. However, it quickly became clear that these parameters were not detailed enough for the simulation. In direct discussions with the production staff, we refined the data and transferred it to the model.