| dc.description.abstract | Due to the rapid development of information technology, thin-film transistor liquid crystal display (TFT-LCD) brings higher convenience and usability to life, and gradually affects people′s digital life. In order to promote the international competitiveness of Taiwan′s TFT-LCD industry, in addition to the introduction of automated production systems, companies have increased the construction of large-scale panel factories. The size enables the number of single-piece substrates that can be cut out to increase output. The unit production cost is reduced, but the size must be gradually expanded, and the slenderness leads to the demand for handling large-sized panels. Therefore, in the face of the demand for handling large-size glass substrates, how to overcome the efficiency of handling and improve production efficiency is the focus of this study.
Nowadays automated material handling system (AMHS) is the core of TFT-LCD factory automation production, and the AMHS system is mainly built by the unmanned vehicle (AGV), railless unmanned vehicle (RGV) and Lin Kunbin (2008). In-Line Stocker (In-Line Stocker) is composed of a rail roadway stacker (Stacker Crane). This study will conduct an in-depth discussion of the large-scale glass substrate handling flow planning under the AMHS system environment, and simulate material handling control. The relationship between the strategy and the production process is expected to prove that the vehicle handling control strategy has a positive impact on the TFT-LCD production efficiency.
This study inherits the paper of Wang (2019) and research Intra-Bay handling and Inter-Bay handling in the Array process of the eighth generation TFT-LCD panel factory. Discuss a decision-making problems here : the selection problem of Stacker Crane’s Cassette, and propose a multi-attribute dispatch control rule. According to previous research At last, the simulation environment software Arena 15.0 is used to reconstruct the new environment, and SPSS 22.0 is used to analyze and compare the replacement amount of the multi-attribute rule and the single-attribute rule, the average process time, the average delay time, the average early time and the average difference time. Determine whether the multi-attribute dispatching law has significantly improved the efficiency of dispatch control for the entire system. | en_US |