doi: 10.7763/IJFCC.2012.V1.21
The Medium-Term Capacity Planning Problem for TFT-LCD Industry: An Application of Fuzzy Bilevel Programming
Yin-Yann Chen
- Department of Industrial Management, National Formosa University, Yunlin 632, Taiwan.
Abstract
In this paper, the strategic single-stage multi-plant capacity planning issues for TFT-LCD panel industry is discussed. The TFT-LCD panel manufacturing is divided into array, cell, and module process. As the array has long production lead time, huge capacity expansion costs, array process becomes a bottleneck in the TFT-LCD manufacturing process. Therefore, how to determine the time point of capacity expansion and capacity allocation decisions will be an important issue. This paper uses bilevel programming to split this capacity problem into two levels (inventory and production), and applies fuzzy approach to solve it. Finally, through practical examples to illustrate the feasibility of fuzzy bilevel programming, and compared with the fuzzy mathematical programming. The results show that when production environment have hierarchical characteristics, applying fuzzy bilevel programming, the performance index for capacity planning is better.
Keywords
- TFT-LCD
- capacity planning
- bilevel programming
- fuzzy approach
How to Cite
Yin-Yann Chen, "The Medium-Term Capacity Planning Problem for TFT-LCD Industry: An Application of Fuzzy Bilevel Programming," International Journal of Future Computer and Communication, vol. 1, no. 1, pp. 79-82, 2012. https://doi.org/ 10.7763/IJFCC.2012.V1.21
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).