• DocumentCode
    2518145
  • Title

    Knowledge Capitalization in the Automotive Industry Using an Ontology Based on the ISO/TS 16949 Standard

  • Author

    Rodríguez-Rocha, Beatriz D. ; Castillo-Barrera, Francisco E. ; López-Padilla, Horacio

  • Author_Institution
    Eng. & Comput. Sci. Postgrad., Autonomous Univ. of San Luis Potosi, San Luis Potosi, Mexico
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    100
  • Lastpage
    106
  • Abstract
    In most manufacturing industries, the human resources department has the responsibility for training new employees for their new roles and duties. Special instructors, time and several other related resources considered for this training translate into a high cost for any company. Quality, a factor that distinguish the efficiency and competitiveness among enterprises has become a very important to consider. Personnel rotation as well as hiring and training of new one, usually has a big impact on this quality during the time required by this new personnel to acquire experience. The main objective of this work is to present the use of an ontology for knowledge capitalization in an automotive industry, allowing information representation, manipulation and specific document retrieval for regular human resources activities like introducing new employees to their respective roles and duties in a faster way. Additionally, it can become very a powerful tool for auditing internal processes because permits faster location of documents, processes, persons and his duties. Using proper auditors and consultants (in lean manufacturing for example) can eventually translating in lower costs for a company.
  • Keywords
    ISO standards; Q-factor; SQL; auditing; automobile industry; human resource management; information retrieval; ontologies (artificial intelligence); personnel; quality management; ISO/TS 16949 standard; SQL query; auditing internal process; automotive industry; automotive quality system; document retrieval; human resource department; information representation; knowledge capitalization; manufacturing industry; ontology; personnel experience; quality factor; training new employee; Automotive engineering; Companies; Costs; Humans; ISO standards; Industrial training; Information representation; Manufacturing industries; Ontologies; Personnel; ISO/TS 16949 standard; automotive industry; knowledge capitalization; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Robotics and Automotive Mechanics Conference, 2009. CERMA '09.
  • Conference_Location
    Cuernavaca, Morelos
  • Print_ISBN
    978-0-7695-3799-3
  • Type

    conf

  • DOI
    10.1109/CERMA.2009.85
  • Filename
    5342006