Cascade Quality Prediction Method Using Multiple PCA+ID3 for Multi-Stage Manufacturing System

Arif, Fahmi and Suryana, Nanna and Hussin, Burairah (2013) Cascade Quality Prediction Method Using Multiple PCA+ID3 for Multi-Stage Manufacturing System. In: 13 International Conference on Electronic Engineering and Computer Science (EECS 2013). Elsevier, IERI Procedia, 201 -207.

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Abstract

Quality prediction model, as the key to realize the real-time online quality monitoring process, has been developed using various data mining techniques. However, most of quality prediction models are developed in single-stage manufacturing system, where the relationship between manufacturing operation and quality variables is straightforward. Previous studies show that single-stage quality system cannot solve quality problem in multi-stage manufacturing system due to the complex variable relationships. This study is intended to propose a data mining method to develop quality prediction model which is able to deal with the complex variable relationships in multi-stage manufacturing system. This method, named Cascade Quality Prediction Method (CQPM), is developed by considering the complex variables relationships in multi-stage manufacturing system. CQPM employs the combination of multiple Principal Component Analysis and Iterative Dichotomiser 3 algorithm. A case study in semiconductor manufacturing shows that the prediction model that has been developed using CQPM is performed better in predicting both positive and negative classes compared to others.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Karya Tulis Ilmiah
Depositing User: Asep Kamaludin
Date Deposited: 07 Nov 2018 09:06
Last Modified: 07 Nov 2018 09:06
URI: http://eprints.itenas.ac.id/id/eprint/190

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