Analysis of Discrete Event Simulated Job Shop Systems

The investigation of dynamical properties considering job shop systems often employs discrete-event simulation. How-ever, to apply advanced analysis methods like Fourier and correlation analysis to the temporal evolution of important variables, time series are required, which comprise data taken in equally measured timesteps. Therefore sampling is applied. This paper investigates the definition of an optimal sampling rate, which ensures high quality data at a minimum of sampling efforts. Furthermore, errors occurring due to deviating sampling rates are investigated and summed up in qualitative error curves.