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Yu Suiran
Wang Chengtao
School of Mechanical Engineering, Shanghai Jiaotong University,
Shanghai 200030, China
Kimura Fumihiko
Department of Precision
Machinery Eng.,
University of Tokyo,
Tokyo 113-8656, Japan |
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PRODUCT DATA PREDICTION
WITH UNCERTAINTY IN PRODUCT
LIFE
CYCLE DESIGN*
Abstract: Various kinds of data are used in new product design and more accurate data make the design results more reliable. Even though part of product data can be available directly from the existing similar products, there still leaves a great deal of data unavailable. This makes data prediction a valuable work. A method that can predict data of product under development based on the existing similar products is proposed. Fuzzy theory is used to deal with the uncertainties in data prediction process. The proposed method can be used in life cycle design, life cycle assessment (LCA) etc. Case study on current refrigerator is used as a demonstration example.
Key words:
Data prediction Uncertainty Life cycle design |