• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire de Conception Fabrication Commande (LCFC)
  • View Item
  • Home
  • Laboratoire de Conception Fabrication Commande (LCFC)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Review of data mining applications for quality assessment in manufacturing industry: Support Vector Machines

Article dans une revue avec comité de lecture
Author
ROSTAMI, Hamideh
ccDANTAN, Jean-Yves
107452 Laboratoire de Conception Fabrication Commande [LCFC]
ccHOMRI, Lazhar

URI
http://hdl.handle.net/10985/11016
DOI
10.1051/ijmqe/2015023
Date
2015
Journal
International Journal of Metrology and Quality Engineering

Abstract

In many modern manufacturing industries, data that characterize the manufacturing process are electronically collected and stored in the databases. Due to advances in data collection systems and analysis tools, data mining (DM) has widely been applied for quality assessment (QA) in manufacturing industries. In DM, the choice of technique to use in analyzing a dataset and assessing the quality depend on the understanding of the analyst. On the other hand, with the advent of improved and efficient prediction techniques, there is a need for an analyst to know which tool performs best for a particular type of data set. Although a few review papers have recently been published to discuss DM applications in manufacturing for QA, this paper provides an extensive review to investigate the application of a special DM technique, namely support vector machine (SVM) to solve QA problems. The review provides a comprehensive analysis of the literature from various points of view as DM preliminaries, data preprocessing, DM applications for each quality task, SVM preliminaries, and application results. Summary tables and figures are also provided besides to the analyses. Finally, conclusions and future research directions are provided.

Files in this item

Name:
LCFC_IJMQE_2015_ROSTAMI.pdf
Size:
1.085Mb
Format:
PDF
View/Open

Collections

  • Laboratoire de Conception Fabrication Commande (LCFC)

Related items

Showing items related by title, author, creator and subject.

  • Evolutionary Cost-Tolerance Optimization for Complex Assembly Mechanisms Via Simulation and Surrogate Modeling Approaches: Application on Micro Gears 
    Article dans une revue avec comité de lecture
    KHEZRI, Amirhossein; SCHILLER, Vivian; GOKA, Edoh; ccHOMRI, Lazhar; ccETIENNE, Alain; STAMER, Florian; ccDANTAN, Jean-Yves; ccLANZA, Gisela (Springer, 2023-01)
    With the introduction of new technologies, the scope of miniaturization has broadened. The conditions under which complicated products are designed, manufactured, and assembled ultimately influence how well they perform. ...
  • Hybrid Cost-Tolerance Allocation and Production Strategy Selection for Complex Mechanisms: Simulation and Surrogate Built-In Optimization Models 
    Article dans une revue avec comité de lecture
    KHEZRI, Amirhossein; ccHOMRI, Lazhar; ccETIENNE, Alain; ccDANTAN, Jean-Yves (ASME, 2023-03)
    In manufacturing companies, assembly is an essential process to obtain the final product. The life cycle of an assembly product depends on various production strategies, e.g., resource allocation, rework decision, selection ...
  • Modular cost model for Tolerance allocation, Process selection and Inspection planning 
    Article dans une revue avec comité de lecture
    ccDANTAN, Jean-Yves; ccETIENNE, Alain; MOHAMMADI, Mehrdad; KHEZRI, Amirhossein; ccHOMRI, Lazhar; TAVAKKOLI-MOGHADDAM, Reza; ccSIADAT, Ali (Elsevier, 2022)
    The need for highly reliable and precise products has forced industries to study potential uncertainties during designing needed parts. The reliability and acceptance of the product rely on several factors and tolerancing ...
  • An integrated resource allocation and tolerance allocation optimization: A statistical-based dimensional tolerancing 
    Article dans une revue avec comité de lecture
    KHEZRI, Amirhossein; ccHOMRI, Lazhar; ccETIENNE, Alain; ccDANTAN, Jean-Yves (Elsevier BV, 2022)
    Today’s industrial world is facing rising demand for highly reliable and safe products. Complex industries, such as automobiles, medical, and aircraft, require a well-designed engineering plan which has a comprehensive ...
  • A Framework for Integration of Resource Allocation and Reworking Concept into Design Optimisation Problem 
    Article dans une revue avec comité de lecture
    KHEZRI, Amirhossein; ccHOMRI, Lazhar; ccETIENNE, Alain; ccDANTAN, Jean-Yves; ccLANZA, Gisela (2022)
    The life cycle of an assembled product faces various uncertainties considering the current state of the manufacturing line. Varied of activities are integrated with the manufacturing line including processing, inspection, ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales