Regression Analysis for LCD Computer Integrated Manufacturing System Performance Prediction
2008
Hochschulschrift
Zugriff:
96
In the heavy competing LCD industry, to meet the market requirements and reduce production costs, large-scale and global known companies have to continuously build new generation LCD factories whenever necessary. Since the capital put in is so enormous that those companies have to proficiently control their production costs in order to be ahead in the competitions. One of the major works in building a LCD factory is to set up the Computer Integrated Manufacturing, i.e. the CIM, system that will determine whether the factory can lower production cost, improve production performance, and meet the market requirements or not. The capacity of a CIM, especially of its CPU, has to be estimated very precisely in order for the factory to run properly during its lifespan without major upgrade. This research aims to investigate how to use Regression Analysis to build a predict model of CPU capacity of a LCD factory CIM system. This model can provide a vital reference for companies in formulating a new generation factory. By using the multiple Regression Analysis and focusing on the training data for a specific period, the CPU capacity predicted model is first launched. Then the Key Parameters are identified and their prediction values are gained by the trend line of the Regression in a chronological order. Feeding the prediction Key Parameters’values into the Regression patterns launched during the training periods, the CPU capacity prediction values of the future months can be obtained. For the prediction deviation, it is concluded that when the trend line of the Regression of the Key Parameters uses the largest value of the R square, the predicted deviation can be smaller.
Titel: |
Regression Analysis for LCD Computer Integrated Manufacturing System Performance Prediction
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Autor/in / Beteiligte Person: | Wang, Ching-Piao ; 王清標 |
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Veröffentlichung: | 2008 |
Medientyp: | Hochschulschrift |
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