Optimization of Electric Contract Capacities For A TFT-LCD Factory

Autor: Wen-Long Peng, 彭文龍
Rok vydání: 2009
Druh dokumentu: 學位論文 ; thesis
Popis: 97
At present the global industries are faceing a meager profit time. Taiwan is a small island and its resources are limited. The power plant construction becomes more and more difficult. That makes the electricity cost increase constantly. One of methods that an enterprise may reduce its cost is making optimal contract capacities. A manufacturing industry must stipulate the contract capacities before applying for the electricity. An enterprise must choice the optimal contract capacities to avoid the forfeit and increasing the cost. If the contract capacities is too high, the electricity costs becomes waste. On the contrary if the contract capacities is too low, the business must to pay twice or triple forfeit. It will be increase manufacturing industry cost and operation expenses in the future. In this thesis, a neural network for demand forecasting is proposed. Policy maker can use the result to make decision and use Genetic Algorithm to choice the optimal contract capacities. The thesis employs the real data from a TFT-LCD factory. The purpose of this study is usage of NeuroSolutions system to forecast the demand in future and use MATLAB GATool to determine optimal contract capacities. It is found that the simulation results of NeuroSolutions is very close to the actual result. A manufacturing industry can save the electrical bill cost if the proposed method is used.
Databáze: Networked Digital Library of Theses & Dissertations