Paper Info
Title
The Changeable Space Theories Based Capacity Configuration for TFT-LCD Fabs.
Abstract
The small and medium size thin film transistor liquid crystal display (TFT-LCD) panel market, which accounted for 25% of the worldwide TFT-LCD market, surged rapidly during the past years due to the fast evolution of the smart handheld devices. However, the demand versus supply relation fluctuated significantly due to the fierce competitions in the small and medium size TFT LCD market. The appropriate expansion of the facilities and optimal allocation of the manufacturing of the manufacturing facilities requires an ideally evaluation mechanism. Further, how the production can be configured to be capacity maximization and profit maximization is the main contribution in this research. However, almost no scholars tried to introduce the theory of the changeable space for reconfiguring and appropriating the production capacity. Further, almost no scholars studied the above-mentioned issues for the small and medium TFT-LCD fabs. Hence, the author aims to define a multiple objective decision making (MODM) theories and methods based hybrid framework for resolving the problems. A changeable space theory based MODM framework consisting of the De Novo programming technique will be introduced for appropriating and expanding the capacity of a TFT-LCD fab. The main contribution of this research is giving the small and medium size TFT-LCD Corporation's new thinking when setting the strategies for expand the capacity. In the future, the proposed framework can be used for appropriating the production capacity of any plan, and the results can be used as the basis for appropriating the capacity of a TFT-LCD fab.
Year
DOI
Venue
2017
10.3233/978-1-61499-800-6-628
Frontiers in Artificial Intelligence and Applications
Keywords
Field
DocType
Small and medium size TFT-LCD fab,capacity planning,De Novo Programming,Changeable Space
Thin-film transistor,Systems engineering,Computer science,Capacity planning,Liquid-crystal display,Electrical engineering
Conference
Volume
ISSN
Citations 
297
0922-6389
0
PageRank 
References 
Authors
0.34
0
9
Name
Order
Citations
PageRank
Chi-Yo Huang1356.00
Hsueh-Hsin Lu201.01
Wen-Hsin Tseng300.34
Meng-Ru Li400.34
Wan-Jung Chang51312.53
Yun-Hsuan Yang600.34
Yi-Chia Wu700.34
Ming-Jen Yang800.34
Ming-Jenn Wu921.09