The Sensitive Engineer: Using Monte Carlo Simulation to Understand the Sensitivity of a Complex System
Written By: Britt Calloway
Wednesday, November 23rd, 2011
During the design process of any system, it is desirable to know how the possible range of input values will affect the system output. One back-of-the-envelope method is to assume the amount of resources the system will use, err on the high side, and protect yourself against failure.
However, what if you are designing a race car component? Would it be necessary to always be conservative? If you are, your competitor will be faster, more nimble, and will speed right by your driver. Understanding your risks–or the range of inputs that will play a role in your system design–is the first step in creating a mitigation strategy.











In today’s business world, many employees–including myself from time to time–wear multiple hats on a day-to-day basis. These additional responsibilities, combined with a decreasing amount of time in which to do them, create an atmosphere in which out-of-the-box thinking is often lost.




