Result: Development of a data mining system for continual process quality improvement

Title:
Development of a data mining system for continual process quality improvement
Authors:
TSANG, K. F, LAU, H. C. W, KWOK, S. K
Source:
Proceedings of the Institution of Mechanical Engineers. Part B. Journal of engineering manufacture. 221(2):179-193
Publisher Information:
London: Mechanical Engineering Publications, 2007.
Publication Year:
2007
Physical Description:
print, 24 ref
Original Material:
INIST-CNRS
Subject Terms:
Mechanical engineering, Génie mécanique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Traitement des données. Listes et chaînes de caractères, Data processing. List processing. Character string processing, Genie mecanique. Construction mecanique, Mechanical engineering. Machine design, Généralités, General, Amélioration procédé, Process improvement, Mejoramiento procedimiento, Analyse donnée, Data analysis, Análisis datos, Arbre décision, Decision tree, Arbol decisión, Assurance qualité, Quality assurance, Aseguración calidad, Base donnée multidimensionnelle, Multidimensional database, Base dato multidimensional, Compétitivité, Competitiveness, Competitividad, Cycle vie (environnement), Life cycle (environment), Ciclo vida (medio ambiente), Disque dur, Hard disk, Disco duro, Disque magnétique souple, Floppy disk, Disco magnético flojo, Disque magnétique, Magnetic disk, Disco magnético, Défaut, Defect, Defecto, En ligne, On line, En línea, Entrepôt donnée, Data warehouse, Almacen dato, Extraction information, Information extraction, Extracción información, Formabilité, Formability, Formabilidad, Fouille donnée, Data mining, Busca dato, Marché, Markets, Mercado, Prise décision, Decision making, Toma decision, Rectification, Rectificación, Réseau neuronal, Neural network, Red neuronal, Traitement donnée, Data processing, Tratamiento datos, Tête lecture, Read head, Cabeza lectura, Tête magnétique, Magnetic head, Cabeza magnética, Usine fabrication, Factory, Fábrica, data mining system, data warehousing application, process quality improvement, slider fabrication
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong-Kong
ISSN:
0954-4054
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18757329
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Mechanical engineering. Mechanical construction. Handling
Accession Number:
edscal.18757329
Database:
PASCAL Archive

Further Information

Quality issues are important to manufacturers so that they can ensure their products are up to the highest standard. However, due to various causes associated with the operational processes, it is hard to identify all the sources of quality problems in a timely manner. A product's defects may cause a very serious loss in market share and low profit margin in the competitive environment of short product life cycles. In order to address this, a systemized and well-designed approach has been formulated to perform the desired task of problem identification based on the specific process. A data mining system (DMS), which is incorporated into emerging technologies including on-line analytical processing (OLAP) and decision tree-based artificial neural networks (ANNs), is presented. With this DMS, essential support for users who wish to identify the cause and source of problems can be provided so that immediate action can be taken for their rectification. The system prototype has been implemented in the factory of a manufacturer of magnetic heads for hard disk drives (HDDs) in order to validate the workability of the proposed methodology.