Measurement resource planning: a methodology that uses quality characteristics mapping

Wei Dai, Paul G. Maropoulos, Xiaoqing Tang, Jafar Jamshidi, Bin Cai

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    Integration of the measurement activity into the production process is an essential rule in digital enterprise technology, especially for large volume product manufacturing, such as aerospace, shipbuilding, power generation and automotive industries. Measurement resource planning is a structured method of selecting and deploying necessary measurement resources to implement quality aims of product development. In this research, a new mapping approach for measurement resource planning is proposed. Firstly, quality aims are identified in the form of a number of specifications and engineering requirements of one quality characteristics (QCs) at a specific stage of product life cycle, and also measurement systems are classified according to the attribute of QCs. Secondly, a matrix mapping approach for measurement resource planning is outlined together with an optimization algorithm for combination between quality aims and measurement systems. Finally, the proposed methodology has been studied in shipbuilding to solve the problem of measurement resource planning, by which the measurement resources are deployed to satisfy all the quality aims. © Springer-Verlag Berlin Heidelberg 2010.

    Original languageEnglish
    Title of host publicationProceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology
    EditorsGeorge Q. Huang, K.L. Mak, Paul G. Maropoulos
    Place of PublicationBerlin (DE)
    PublisherSpringer
    Pages999-1012
    Number of pages14
    ISBN (Electronic)978-3-642-10430-5
    ISBN (Print)978-3-6421-0429-9
    DOIs
    Publication statusPublished - 2010
    Event6th CIRP International Conference on Digital Enterprise Technology - Hong Kong, China
    Duration: 14 Dec 200916 Dec 2009

    Publication series

    NameAdvances in Intelligent and Soft Computing
    PublisherSpringer
    Volume66
    ISSN (Print)1867-5662

    Conference

    Conference6th CIRP International Conference on Digital Enterprise Technology
    Abbreviated titleDET 2009
    CountryChina
    CityHong Kong
    Period14/12/0916/12/09

    Keywords

    • measurement resource
    • product development
    • quality characteristics
    • resource planning

    Fingerprint Dive into the research topics of 'Measurement resource planning: a methodology that uses quality characteristics mapping'. Together they form a unique fingerprint.

  • Research Output

    • 7 Conference publication
    • 1 Scholarly edition
    • 1 Other chapter contribution
    • 1 Special issue

    High accuracy mobile robot positioning using external large volume metrology instruments

    Wang, Z., Liang, M. & Maropoulos, P. G., 2011, In : International Journal of Computer Integrated Manufacturing. 24, 5, p. 484-492 9 p.

    Research output: Contribution to journalSpecial issue

    Open Access
    File
  • Design of an information system for metrology contents

    Ferri, C., Jamshidi, J., Loftus, C. & Maropoulos, P., 2010, Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Huang, G. Q., Mak, K. L. & Maropoulos, P. G. (eds.). Berlin (DE): Springer, p. 957-970 14 p. (Advances in Intelligent and Soft Computing; vol. 66).

    Research output: Chapter in Book/Report/Conference proceedingConference publication

  • High accuracy mobile robot positioning using an external large volume metrology instrument

    Wang, Z., Liang, M. & Maropoulos, P. G., 2010, Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Huang, G. Q., Mak, K. L. & Maropoulos, P. G. (eds.). Berlin (DE): Springer, p. 621-630 10 p. (Advances in Intelligent and Soft Computing; vol. 66).

    Research output: Chapter in Book/Report/Conference proceedingConference publication

  • Cite this

    Dai, W., Maropoulos, P. G., Tang, X., Jamshidi, J., & Cai, B. (2010). Measurement resource planning: a methodology that uses quality characteristics mapping. In G. Q. Huang, K. L. Mak, & P. G. Maropoulos (Eds.), Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology (pp. 999-1012). (Advances in Intelligent and Soft Computing; Vol. 66). Springer. https://doi.org/10.1007/978-3-642-10430-5_77