• DocumentCode
    614958
  • Title

    A bottom-up search technique of manufacturing indicators stmicroelectronics´ case study

  • Author

    Bouzid, Sara ; Cauvet, Corine ; Frydman, Claudia ; Pinaton, Jacques

  • Author_Institution
    Lab. for Syst. & Inf. Sci. (LSIS), Marseilles, France
  • fYear
    2013
  • fDate
    14-16 May 2013
  • Firstpage
    115
  • Lastpage
    120
  • Abstract
    This paper proposes a bottom-up search technique to enhance the retrieval of manufacturing information resources in semi-conductor industries. These resources mainly provide manufacturing indicators for the control of the manufacturing processes. The search technique is based on a semantic mapping approach supported by a manufacturing process ontology and a process control dictionary. The ontology and the dictionary provide the required semantics to find out the purpose of use of the manufacturing indicators in the control process. In this way, the proposed search technique enables the end user (the engineer) to explore the resource repositories in the company and to understand the usefulness of the resources found, so to reuse the adequate indicators for the control process. The general approach has been experimented within the STMicroelectronics Company and has shown promising results.
  • Keywords
    information resources; information retrieval; manufacturing data processing; ontologies (artificial intelligence); process control; semiconductor industry; STMicroelectronics; bottom-up search technique; information retrieval enhancement; manufacturing indicators; manufacturing information resources; manufacturing process control; manufacturing process ontology; process control dictionary; resource repositories; semantic mapping approach; semiconductor industries; Companies; Dictionaries; Manufacturing processes; Process control; Semantics; Bottom-up search; Dictionary; Indicator; Manufacturing process; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Semiconductor Manufacturing Conference (ASMC), 2013 24th Annual SEMI
  • Conference_Location
    Saratoga Springs, NY
  • ISSN
    1078-8743
  • Print_ISBN
    978-1-4673-5006-8
  • Type

    conf

  • DOI
    10.1109/ASMC.2013.6552796
  • Filename
    6552796