Abstract
Automated Guide Vehicle system is a common automated transportation system in factory. There are two main issues need to consider when we want to import AGV system to factory, which is layout and dispatching rule design. We are interested how to design a most suitable AGV system for the site, in order to raise the output or decrease the loading for human resource. This study is a extend research from a real one case, and there are two restrictions, the fleet size of AGV was limited as four, and product transport needs to crossover cleanroom and normal area. We design and analyze AGV system under these two restrictions. Finally, we use the simulation software “FlexSim” to construct the simulation model; meanwhile the simulation model can help to do the analysis. Design of experiment (DOE) is a main method to analyze data in this research. There are four controllable factors layout design, machine production rate, speed of AGV and dispatching rule. Key performance indicators (KPIs) include output per shift, average stay time, machine block rate and WIP level. By using DOE, we can find out the relationship between factors and response variables, furthermore, the best combination of factors for each KPI can get in same time. After the analysis for the AGV system, it helps people who need to make the decision of build AGV system in factory. This kind of procedure can become a standard operation process for importing AGV system. We hope this procedure can decrease the risk for people when construct AGV system in factory, and people can get the optimal combination for different factories.