Browsing by Author "Chang, Fengming M."

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A GA-based method to reduce material handling: the case of TFT-LCD array Fabs in Taiwan
(2011)
Tseng, Shian-Shyong
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Chang, Fengming M.
;
Chu, Yian-Shu
;
Chi, Pi-Ju
;
資訊工程學系
This study proposes a genetic algorithm (GA)-based Material Handling Strategy Function (MHSF) method to increase the productivity of a TFT-LCD array fabrication to improve the traditional FIFO method in TFT-LCD fabrication by the reduction of the material handling for a Rail Guided Vehicle (RGV), because costs of material handling count up to about 50% of production costs. In this article, the MHSF is provided to help material handling commands choice, where a novel GA approach is used to adapt the weights of affecting factors in the function. Finally, to evaluate the performance of the proposed method, experiments using the data from a major TFT-LCD manufacturing plant in Taiwan have been carried out, and the results indicate that it can indeed reduce fabrication time and increase productivity.
Collaborative Production Machine Choice System Based on Hierarchical Case Based Reasoning
(2009)
Tseng, Shian-Shyong
;
Chang, Fengming M.
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Lin, Huan-Yu
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Hsu, Chi-Chun
;
Ku, Chung-Chao
New cell phone styles and technologies developments are changing quickly. To improve the ability of competition for a company, a new designed cell phone has to be available in the market in the short time. Therefore, production processes including manufacturing machine choice for a new cell phone product have to be determined quickly. Facing the lack of information, it is difficult to choose manufacturing machines for a production process for a new product. Thus, this study proposed a Collaborative Production Machine Choice System (CPMCS) based on a hierarchical case based reasoning approach to solve the problem of machine choice for new cell phone production. A real interaction system is built up also to help users for machine choice in this study. Using non-fixed number of new product features, this system can advise suitable machines for users by case based reasoning approach and help users to find out the right machines for production in the short time.