Abstract
A wide range of maturity models for product lifecycle management are proposed to assess the relative position of companies on their road to complete lifecycle systems' implementation. However, it is a tough job for the company to accurately make decisions of improving lifecycle systems' maturity due to the vague and complex data. The fuzzy VIKOR (Multi-criteria Optimization and Compromise Solution) is a compromise solution and has the ability of transfer subjective and implicit linguistics into objective and transparent data. An integrated fuzzy AHP (Analytic hierarchy process) and fuzzy VIKOR methodology is proposed to make a decision among option PLM strategies. The weights of the criteria called local weights are determined by fuzzy pairwise comparison matrices. The weights of alternatives with respect to criteria called global weights are calculated by fuzzy VIKOR. The final ranking weights are the overall analysis of local and global weights. A numerical example illustrates and clarifies the running steps of the proposed methodology.
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