published in Proc. of National Conference on Computing and
Information Technology, Thailand, May 9-10, 2012.
A Heuristic Approach to Improve The Decision Tree of Product
Acceptance in Hard Drive Manufacturing
Siltepavet, A.,
Sinthupinyo, S., and Chongstitvatana, P.,
Department of Computer Engineering
Chulalongkorn University
email: prabhas@chula.ac.th
Abstract
This paper is aimed at constructing a model which can improve
quality of products in hard drive manufacturing by Decision Tree
Learning technique. The output model is a guide line for parameters
adjustment in the development-process. It advises the best method to
adjust controllable parameters that take the maximum pass-pieces.
The analysis of this model is divided into two parts. The first part
provides an analysis on a decision tree that can determine the
parameters which affect the quality of the work-pieces. In the
second part, the adjustability of the parameter is discussed and
analyzed whether it can be adjusted. Furthermore, two approaches are
illustrated to identify the adjustment methods, i.e. the
Maximum-Fail First search, the Minimum-Fail First search then the
best method which gains more quantity of pass-pieces will be
selected.
Keyword: Decision Tree, Hard drive Manufacturing, Improving Quality
of Product.