Model-Based Research for Aiding Decision-Making During the Design and Operation of Multi-Load Automated Guided Vehicle Systems

Multi-load Automated Guided Vehicle's (AGV) are regarded as a potential tool to tackle the low-efficiency issue that have plagued traditional single-load AGV systems for many years. However, date, optimal design and operation of multi-load is still an unresolved question. In order explore answer this question help operators make decisions during these systems, article will use Coloured Petri nets (CPN) develop mathematical model investigate performance (i.e., total number items delivered within given time) system in various scenarios. The research has shown failure AGVs can significantly lower system. Although it possible maintain high by performing onsite corrective maintenance, shows be achieved using combination periodic maintenance backup use. Finally, found increasing increase performance, but decrease efficiency average per AGV) individual due increased traffic conflicts hence longer waiting times.