Innovation Problem Identification and Decision-Making for Product Platform

Yu Yi Liu; Liang Hou; Hong Lian Wang

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

Paper Titles

The Innovative Design of Folding Umbrellalike Mechanism
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Function Driven Redesign Method for Conceptual Design
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The Reconfigurable Innovation of Reciprocating Rectilinear Moving Mechanism at High Frequency with Low Load Driven by Two Symmetrical Eccentric Cams
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Innovation Problem Identification and Decision-Making for Product Platform
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Characteristics of Singular Point on Cycloid and its Application in Parallel Indexing Cam Mechanisms
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Empirical Models of Fast Cost Estimation for Modular Mechanical Products
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A User-Centered Multi-Agent Framework for Extensible Modular Design
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HomeMaterials Science ForumMaterials Science Forum Vols. 628-629Innovation Problem Identification and...

Innovation Problem Identification and Decision-Making for Product Platform

Abstract:

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.

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Advances in Materials Manufacturing Science & Technology XIII Volume II

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Periodical:

Materials Science Forum (Volumes 628-629)

Pages:

131-136

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.628-629.131

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Online since:

August 2009

Authors:

Yu Yi Liu, Liang Hou, Hong Lian Wang

Keywords:

Comprehensive Disturbance Degree, Fuzzy Clustering, Innovation Problem, Product Platform Innovation, Product Platform Life Cycle (PPLC), Value Engineering

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References

[1] G.N. Qi and Q.H. Yang, China Mechanical Engineering, Vol. 15 (19) (2004), p.1697.

Google Scholar

[2] K. Otto, J Intel Manuf, Vol. 18(2007), p.59.

Google Scholar

[3] Z.B. Gong and D.B. Li, China Mechanical Engineering, Vol. 18 (13) (2007), p.1576.

Google Scholar

[4] C.L. Si, L.F. Sun and M.J. Zhao, Research and Development, Vol. 15 (3) (2003), p.22.

Google Scholar

[5] J. Chen and B.W. Gui, Research and Development, Vol. 18 (3) (2006).

Google Scholar

[6] A. Jose, M. Tollenaere, Journal of Intelligent Manufacturing, Vol. 16(3) (2005), p.371 Fig. 7 Milling head index technology (Copyright by SanMing Machine Tool Co. ) Fig 5. Function System Graph of Knee Type Milling Machine Product Platform.

Google Scholar