Abstract:
The purpose of the research is to study the effects of control factors of Automated Guided Vehicle (AGV) in flexible manufacturing system. A simulation model is applied to evaluate and analyze the effects of each factor on performance measures. There are five factors in this research namely, number of jobs, dispatching rules, AGV selection rules, input and output buffers, and job preemptions. These factors are tested and
evaluated by using 5 performance measures, namely, mean flow-time, mean tardiness, number of tardy jobs, machine utilizations, and AGV utilizations. The result shows that all factors affect to the performance measures significantly. Increasing a number of jobs and preemptive level obtain higher flow-time, tardiness, and number of tardy jobs, machine and AGV utilizations. Decreasing a number of input and output buffers result in better performance measures. All AGV selection rules generate the same performance
measures except that the ODS rule generates the lowest AGV utilization. For dispatching rules, SPT and SPTP/EDDT rules obtain lower flow-time, number of tardy jobs, machine utilization, and AGV utilization compared to the others, whereas EDDP and EDDP/SPT obtains lower tardiness than the others.