PRIORITIZING DESIGN CANDIDATES IN ADAPTABLE DESIGN USING THE GREY RELATIONAL ANALYSIS APPROACH

Y. Li, D. Xue, P. Gu

Abstract


A new method to evaluate design candidates in adaptable design is introduced in this research using the grey relational analysis approach. In this method, the functions of different adaptable design candidates are classified into fundamental functions and adaptable (optional) functions. These design candidates are evaluated by different life-cycle evaluation measures including adaptability of design, part and assembly costs of manufacturing, operationability by customers, etc. The grey analysis approach is employed in this research to integrate the different evaluation measures for prioritizing different design candidates with different fundamental and adaptable functions. A case study is given to demonstrate the effectiveness of the introduced approach.

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