Jurnal Teknik Industri
Vol. 5 No. 1 (2003): JUNE 2003

SYSTEM DESIGN AND BEHAVIOR OF PATTERN RECOGNITION OF CONTROL CHART USING NEURAL NETWORK

Justin Yulius Halim (Department of Industrial Engineering, Dongseo University, South Korea)

Article Info

Publish Date
13 Jul 2004

Abstract

Recognition of unnatural patterns in control charts is important to get more understanding about the process problem. Shewhart control chart can recognize shift pattern only, while the others cannot be detected by this chart. Neural networks were proposed by many researchers to achieve the better recognition of the patterns. A system of neural networks needs to be fitted to this problem by realizing the behaviors of control charts. Each behavior will affect the development of each part of the system. Some problem need to be pointed also when dealing with the patterns of the control chart.

Copyrights © 2003




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Journal Info
Jurnal Teknik Industri
Website

Abbrev

ind

Publisher

Universitas Kristen Petra Surabaya

Subject

Industrial & Manufacturing Engineering

Description

Jurnal Teknik Industri aims to: Promote a comprehensive approach to the application of industrial engineering in industries as well as incorporating viewpoints of different disciplines in industrial engineering. Strengthen academic exchange with other institutions. Encourage scientist, practicing ...