This paper concerns with applying tandem automated guided vehicle
(TAGV) configurations as material handling devices and optimising
the production time considering the effective time parameters in a flexible
automated manufacturing system (FAMS) using Monte Carlo simulation. Due
to different configurations of TAGVs in an FAMS, the material handling
activities are performed. With respect to various stochastic time parameters and
the TAGV defects during material handling processes, sample data are
collected and their corresponding probability distributions are fitted. Using the
probability distributions, we model the TAGV material handling problem via
Monte Carlo simulation. The effectiveness of the proposed model is illustrated
in a case study.
کلید واژگان :
TAGV; tandem automated guided vehicle; FAMS; flexible automated manufacturing system; Monte Carlo simulation
