An integrated module-based reasoning and axiomatic design approach for new product design under incomplete information environment

Xiuzhen Li,S. Qiu,Henry X. G. Ming

Published 2019 in Computers & industrial engineering

ABSTRACT

Abstract Modular design is the mainstream approach in new product design. Module-based reasoning (MBR), which retrieves the most similar modules (MSMs) as the best solution, is a potential approach to reuse previous knowledge in the product development. When relative information is complete, MSMs can be retrieved effectively by the MBR technique. However, the assumption of complete information is not always true in real world. It is usually hard to retrieve MSMs under incomplete information environment. To solve this problem, we propose the use of MBR to retrieve MSMs indirectly when relative information is incomplete, and integrate axiomatic design (AD) and theory of inventive problem solving (TRIZ) to design a new product. In our proposed method, first, MSMs are retrieved indirectly by calculating the similarities of known product attributes (PAs) between new modules and existing modules of a product. Then, identical modules (similarity = 1) are reused directly, and non-identical modules (similarity

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