We introduce a new method, called "customer oriented finite perturbation analysis" (CFPA), for sensitivity estimation for discrete event dynamic systems (DEDS). We discuss the CFPA algorithm and applying a new proof technique we obtain necessary conditions for CFPA to yield an unbiased estimator for the sensitivity of performance measures like throughput or sojourn times w.r.t. to a perturbation of arbitrary magnitude. Numerical examples show the efficiency of the method.
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Paper provided by Erasmus University of Rotterdam - Econometric Institute in its series Papers with number
9647/a.
Find related papers by JEL classification: C6 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming C62 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Existence and Stability Conditions of Equilibrium