Quality planning based on risk assessment

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

    Research output: Chapter in Book/Published conference outputConference publication


    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)
    Number of pages15
    ISBN (Electronic)978-3-642-10430-5
    ISBN (Print)978-3-6421-0429-9
    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
    ISSN (Print)1867-5662


    Conference6th CIRP International Conference on Digital Enterprise Technology
    Abbreviated titleDET 2009
    CityHong Kong


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


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