الفهرس | Only 14 pages are availabe for public view |
Abstract Flexible Manufacturing System (FMS) is a set of flexible machine tools connected with an automated material handling system and which are controlled by control unit have widely expanded in industry sectors all over the world. Scheduling is a decision-making process that is used on a regular basis in many manufacturing and services industries and it is one of the most crucial problems that face the life cycle of FMSs. This thesis presented the simultaneous scheduling problem of Automated Guided vehicles (AGVs) and machines in FMSs. The study was based on Discrete Event Simulation (DES) using ARENA®15 package software to solve that problem using benchmark data used by previous studies which composed of ten job sets each set composed from five to eight job and between 13 and 21 operations to be scheduled on four different layout of machines using two identical AGVs for job handling from load\unload station to machines. The developed simulation model is mainly aimed at creating the targeted jobs and simulate the processing of them on the machines which are predetermined on their assigned sequence and determine the priority of selecting the waiting jobs according to the scheduling rules like the First in First Out (FIFO),Last in Last Out (LILO),Short Processing Time (SPT) and Longest Processing Time (LPT). Furthermore, the simulation of AGVs and their guided paths, movements and how to determine the priority of selecting an AGV if there are more than one idle AGVs according to the dispatching rules such as Shortest Travel Distance(STD) and Longest Travel Distance (LTD).The objective of this study is determining the starting and completion times of each job to minimize the makespan and to obtain the optimal schedules of jobs operations on machines. The results validate the robustness of the simulation model, especially for large-scale problems. Furthermore, they were compared against the other approaches and show consistency. |