A study of rolling-mill productivity utilizing a statistically designed simulation experiment

摘要

A statistically designed experiment was conducted to quantitatively describe the effects of operating conditions on rolling-mill performance. Instead of observing the actual performance of the facility, a Monte Carlo model was developed and used to simulate the operation of the mill under all the treatment combinations required to complete the experimental design. The empirical equations that resulted from the analysis of the simulated responses have proved useful in aiding mill scheduling, locating bottlenecks, determining economical operating strategies, and evaluating the potential of proposed operating changes.