Innovation Problem Identification and Decision-Making for Product Platform

Abstract:

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During product platform life cycle, innovation problem identification and decision-making are regarded as vital issues in product platform evolution process. The Comprehensive Disturbance Degree is proposed and analyzed considering customer demand, technology status and production capacities, then existing problems of product platform are identified. According to Innovation Problem Selecting Principles, the innovation problem set Q is defined. The value of modules in product platform is calculated using Value Engineering, the module set M needed to be improved is determined. Then based upon the correlation degree analysis of the innovation problem set and the module set, Fuzzy Clustering Algorithms is advanced to classify innovation problems. Finally, a case study is given to illustrate the validity of the methodology.

Info:

Periodical:

Materials Science Forum (Volumes 628-629)

Edited by:

Dongming Guo, Jun Wang, Zhenyuan Jia, Renke Kang, Hang Gao, and Xuyue Wang

Pages:

131-136

DOI:

10.4028/www.scientific.net/MSF.628-629.131

Citation:

Y. Y. Liu et al., "Innovation Problem Identification and Decision-Making for Product Platform", Materials Science Forum, Vols. 628-629, pp. 131-136, 2009

Online since:

August 2009

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Price:

$35.00

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