Flow lines often operate under stochastic and time-dependent influences, for example during the ramp-up
phase. The considered model assumes stochastic processing times with arbitrary distributions which may
change over time. Finite buffers are allocated between the machines to compensate for these stochastic effects.
A discrete-time sampling approach for the analytical performance evaluation is proposed. The accuracy of the
approach is demonstrated by comparison to a discrete-event simulation. Moreover, different time-dependent
buffer allocation strategies are proposed and evaluated.
Dieser Eintrag ist Teil der Universitätsbibliographie.