Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/6056
Title: Hybrid system of artificial neural network, case based reasoning and fuzzy logic for QS9000 implementation
Authors: Liu, Peng.
Keywords: DRNTU::Engineering::Industrial engineering::Quality engineering
Issue Date: 2005
Abstract: Advanced Product Quality Planning (APQP), which is one of QS9000 requirements applied to automotive industries, performs an important role in quality assurance activities. It’s aroutine job in most of the companies. A group of employees fulfill the job following designated procedures and produce a lot of reports and forms. In this dissertation, one model of problem solving that involves choosing an action based on past experiments in similar situations is presented. The problem to be solved in actual business activities is the APQP implementation. This model realized the advantages of some Artificial Intelligence (AI) technologies; these AI technologies include Artificial Neural Network (ANN), Case-Based Reasoning (CBR) and Fuzzy Logic (FL).
URI: http://hdl.handle.net/10356/6056
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

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