• Using a simulation of the manufacturing process Mr. Gürkan found a  method to find the optimal location to place buffers to help machines  run smoother and longer without breaking down. The simulation ran a  maximum of 50 machines and took data on cycle times and downtime to set  up the production process. Then using the data collected and forming a  directional derivative could be used to infer the approximate location  where the process became too loud or uneven. These points were isolated  and selected for the optimal location for the buffers. Once added into  the simulation the productivity of the process was found to increase as  was the time between break down on the production line.

    To further test the simulation additional production  line simulations were produced. These additional simulations were made  with fewer machines used in the process.  These simulations were tested  utilizing the directional derivative and more traditional stochastic  testing methods and the level of error found between the two on the  location of buffers was found to be negligible.


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    Gürkan, G. (2000). Simulation optimization of buffer allocations in  production lines with unreliable machines. Annals of Operations  Research, 93(1–4), 117–216.


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