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



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.