Title :
Quantitative model of the technology lifecycle for forecasting the maturity of manufacturing technologies
Author :
Greitemann, J. ; Stahl, B. ; Michels, N.V. ; Lohmann, B. ; Reinhart, G.
Author_Institution :
Inst. for Machine Tools & Ind. Manage., Tech. Univ. Munchen, München, Germany
Abstract :
The effective and efficient application of manufacturing technologies is a key success factor for producing companies. Especially emerging technologies offer a competitive potential. However, a certain maturity has to be attained for successful application in the manufacturing environment. To plan the timing of this application properly the development of the maturity has to be forecasted precisely. The methodology presented in this paper combines the detailed assessment of the current maturity and a quantitative forecast based on patent and publication data.
Keywords :
competitive intelligence; manufacturing industries; patents; product development; remaining life assessment; technology management; competitive potential; manufacturing environment; manufacturing technologies; maturity development forecasting; patent; producing companies; publication data; quantitative forecast; quantitative model; technology lifecycle; Forecasting; Logistics; Manufacturing; Patents; Predictive models; Technological innovation; Manufacturing Technology; Technology Forecasting; Technology Lifecycle;
Conference_Titel :
Management of Innovation and Technology (ICMIT), 2014 IEEE International Conference on
Conference_Location :
Singapore
DOI :
10.1109/ICMIT.2014.6942440