Some Linear Fuzzy Collaborative Forecasting Models for Semiconductor Unit Cost Forecasting

Some Linear Fuzzy Collaborative Forecasting Models for Semiconductor Unit Cost Forecasting

Toly Chen (Department of Industrial Engineering and Systems Management, Feng Chia University, Seatwen, Taichung City, Taiwan)
Copyright: © 2013 |Pages: 15
DOI: 10.4018/ijfsa.2013010102
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Abstract

Forecasting the unit cost of every product type in a factory is an important task to the factory. However, it is not easy to deal with the uncertainty in the unit cost. Fuzzy collaborative forecasting is very effective in handling the uncertainty in the distributed environment. This paper presents some fuzzy collaborative forecasting models to predict the unit cost of a semiconductor product. According to the experimental results, the effectiveness of forecasting the unit cost was considerably improved through the objects’ collaboration.
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Methodology

The parameters used in the proposed methodology are defined in advance:

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