Quality planning based on risk assessment

Wei Dai, Paul G. Maropoulos, Xiaoqing Tang, Dehong Huo, Bin Cai

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

    Abstract

    Product quality planning is a fundamental part of quality assurance in manufacturing. It is composed of the distribution of quality aims over each phase in product development and the deployment of quality operations and resources to accomplish these aims. This paper proposes a quality planning methodology based on risk assessment and the planning tasks of product development are translated into evaluation of risk priorities. Firstly, a comprehensive model for quality planning is developed to address the deficiencies of traditional quality function deployment (QFD) based quality planning. Secondly, a novel failure knowledge base (FKB) based method is discussed. Then a mathematical method and algorithm of risk assessment is presented for target decomposition, measure selection, and sequence optimization. Finally, the proposed methodology has been implemented in a web based prototype software system, QQ-Planning, to solve the problem of quality planning regarding the distribution of quality targets and the deployment of quality resources, in such a way that the product requirements are satisfied and the enterprise resources are highly utilized. © 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
    Pages223-237
    Number of pages15
    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

    • product development
    • quality characteristics
    • quality planning
    • risk assessment

    Fingerprint Dive into the research topics of 'Quality planning based on risk assessment'. Together they form a unique fingerprint.

  • Research Output

    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 contribution

  • 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 contribution

  • Cite this

    Dai, W., Maropoulos, P. G., Tang, X., Huo, D., & Cai, B. (2010). Quality planning based on risk assessment. In G. Q. Huang, K. L. Mak, & P. G. Maropoulos (Eds.), Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology (pp. 223-237). (Advances in Intelligent and Soft Computing; Vol. 66). Springer. https://doi.org/10.1007/978-3-642-10430-5_17