2302 Analysis of a Technology System Evolution by Focusing on a Technology Maturity

2010 ◽  
Vol 2010.20 (0) ◽  
pp. _2302-1_-_2302-4_
Author(s):  
Chen Shiuan LIN ◽  
Hiroshi HASEGAWA
2021 ◽  
Vol 2066 (1) ◽  
pp. 012087
Author(s):  
Bing Lv ◽  
Hao Wei ◽  
Yantao Li ◽  
Zhenpeng Xue

Abstract In order to make each functional module of silage machinery have a high degree of adaptability and meet the market demand of coordinated operation of each functional module, this paper preliminarily explores the symbiosis concept in the field of silage equipment, and applies the technology system evolution theory to the symbiotic design of silage equipment. In the design stage, the designers divide the functional modules of the silage machinery according to the market and user needs, and then analyze the symbiosis of the interrelated modules and screen out the functional modules with weak adaptability, so as to carry out the technical system evolution and optimize each functional module, and then establish the layout scheme between modules, so that the various functional modules of the silage machinery have strong adaptability, improve product quality, reduce design costs, shorten the design cycle, and realize the user’s demand for the coordinated operation of multi-functional silage machinery.


2012 ◽  
Vol 09 (02) ◽  
pp. 1250010 ◽  
Author(s):  
JIANGUANG SUN ◽  
RUNHUA TAN

Disruptive Innovation (DI) is an effective method for a new firm to enter mature market. According to the composing analysis of the technical system for the product, six kinds of typical state in the technical system process can be detected. In accordance with technology system evolution analysis, two kinds of evolutionary technologies — mainstream evolutionary technologies and laggard evolutionary technologies — can be detected. Then, the conditions for forecasting DI technologies are established. Based on evolution path lines of TRIZ, the potential DI can be forecasted. As a case study, the video game console system is investigated. The study shows that the adoption of TRIZ evolution theory in forecasting disruptive technologies of product is feasible.


2013 ◽  
Vol 2013.23 (0) ◽  
pp. _2204-1_-_2204-8_
Author(s):  
Yu KOZANO ◽  
Kanako GOTO ◽  
Shun TAKAHASHI ◽  
Hiroshi HASEGAWS

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 120-LB ◽  
Author(s):  
JORDAN E. PINSKER ◽  
KRISTIN N. CASTORINO ◽  
SCOTT A. LEAS ◽  
Keyword(s):  

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