Abstract
Traditional methods can not satisfy the reliability allocation demands for modern products. Firstly, they couldn't guarantee the efficient access and constant exchange of large amounts of expert measurement information on reliability allocation. Secondly, they don't take environmental attributes into consideration which deserve more attention for the increasingly serious carbon emissions and energy crisis. Thirdly, they are not appropriate for product platforms which are replacing rapidly individual products. To solve these problems, an integrated reliability allocation method for product platform based on expert measurement and Information-Centric Networking (ICN) is proposed in this paper, in which vast quantities of expert measurement data is managed through ICN. Besides, environmental attributes of product platform, dynamic market changes, and module types are considered by the integration of maximal entropy ordered weighted averaging (ME-OWA) and analytical hierarchical process (AHP).The validity of this method is demonstrated by a numerical example.
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