dc.description.abstract | In recent years, the development of science and technology and the use of the Internet have enabled people to grasp the information that was previously unimagined with a large amount of immediate information. Among them, the development of technology has such a effect, display technology plays a very important role, and the TFT-LCD panel industry also needs The amount is increasing, and it has achieved very significant benefits. In order to enhance competitiveness, the industry is inclined to build a larger glass substrate-sized panel factory. The growth of the glass substrate can increase the number of sheets that can be cut by a single substrate, and the unit cost per panel. As the decline, the output also rises, but the larger the size of the substrate, the relatively affecting the process, which also includes the material handling part, this study is to explore the impact of the handling method on the process.
Most TFT-LCD panel manufacturers have now replaced old traditional production systems with automated computer integrated manufacturing systems, as well as automated material handling systems (AMHS) for handling glass substrate handling and storage operations. The AMHS system consists mainly of AGV and RGV and the Stacker Crane of In-Line Stocker proposed by Lin (2008). Therefore, this study will carry out the flow in the AMHS system environment. The planning is conducted in depth to observe the relationship between the material handling method and the production process, and it is expected to have a positive impact on production efficiency.
This study inherits the research of Zhang (2018) and discusses two decision-making problems of Array process in AMHS system in TFT-LCD panel factory. They are the selection problem of Stacker Crane′s Cassette and the selection of In-Line Stocker′s exit point. The multi-attribute equation evaluation method is relatively unfounded in the weight setting part. Therefore, this paper will propose multiple single attribute rules to analyze the weight selection for the two problems and correct the previous simulation environment imprecision and flow chart. Finally, through the simulation simulation software Arena to construct the modified environment, and observe the single attribute rule combination between different problems, I hope that the results of the best combination can be significantly different from the previous research, and can observe the method affects the efficiency of the entire delivery control system.
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