Failure Knowledge based Decision-Making in Product Quality

Dai, Wei, Maropoulos, Paul, Cheung, Wai Ming and Tang, Xiaoqing (2011) Failure Knowledge based Decision-Making in Product Quality. International Journal of Product Lifecycle Management (IJPLM), 5 (2/3/4). pp. 143-163. ISSN 1743-5110

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Decision-making in product quality is an indispensable stage in product development, in order to reduce product development risk. Based on the identification of the deficiencies of quality function deployment (QFD) and failure modes and effects analysis (FMEA), a novel decision-making method is presented that draws upon a knowledge network of failure scenarios. An ontological expression of failure scenarios is presented together with a framework of failure knowledge network (FKN). According to the roles of quality characteristics (QCs)in failure processing, QCs are set into three categories namely perceptible QCs, restrictive QCs, and controllable QCs, which present the monitor targets, control targets and improvement targets respectively for quality management. A mathematical model and algorithms based on the analytic network process (ANP) is introduced for calculating the priority of QCs with respect to different development scenarios. A case study is provided according to the proposed decision-making procedure based on FKN. This methodology is applied in the propeller design process to solve the problem of prioritising QCs. This paper provides a practical approach for decision-making in product quality.

Item Type: Article
Uncontrolled Keywords: FKN, modelling, analytical network process, ANP, product development
Subjects: H300 Mechanical Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Wai Ming Cheung
Date Deposited: 17 Apr 2012 14:20
Last Modified: 13 Oct 2019 00:31

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