Research on Innovation Process Model Based on Function Evolution

2010 ◽  
Vol 20-23 ◽  
pp. 1336-1341
Author(s):  
Qing Hai Li ◽  
Guo Zhong Cao ◽  
Hai Xia Guo ◽  
Run Hua Tan

Function design is an important method for high-level innovation, and it is important for corporations to forecast product evolution rapidly and effectively from function angle. Three laws of function organization and eight laws of function improvement are presented to discover radically appearance of new functions and improvement of existing functions. The directions of function evolution are confirmed by function forecasting, and the function evolutionary path is described by function evolution tree. The rationality is evaluated by degree of ideality. The product innovation process model based on function evolution is proposed by integrating the above contents, which provides a systematic approach to product innovation from functional design angle. A design example for innovation of Chinese medicine demonstrates the proposed method is feasible.

2021 ◽  
Author(s):  
Peng Zhang ◽  
Hongxiang Wang ◽  
Zifeng Nie

2013 ◽  
Vol 401-403 ◽  
pp. 371-374
Author(s):  
Hui Jin ◽  
Hai Xia Guo ◽  
Guo Zhong Cao ◽  
Sai Na Wei

Function design is an important step in the process of product design. This article mainly focuses on process and realization of product function innovation. Function innovation and forecasting method is presented, and the product function innovation process model is proposed. Finally, the heating equipment is taken as an example to validate the effectiveness of the model.


Author(s):  
Kazuya Oizumi ◽  
Akio Ito ◽  
Kazuhiro Aoyama

AbstractSystem design at the early stage of design plays an important role in design process. Model based systems engineering is seen as a prominent approach for this challenge. System design can be explored by means of system simulation. However, as the system is a complex system, system model tends to have high level of abstraction. Therefore, the models cannot depict every details of the system, which makes optimization unreasonable.Furthermore, at the early stage of design, there are many uncertainties such as success of technological developments. By properly incorporating uncertain factors in system design, the system can be tolerant. Currently system design is conducted by experienced experts. However, for more complex system, it would be difficult to continue the current practice. Therefore, a method to support design team to make decision in system design is needed.This paper proposes a computational support for the system design. Design constraints, which seems the core information that design team wants at system design, are modeled. By visualizing constraints quantitatively and intuitively, the proposed method can support design team to conduct system design and design study.


2021 ◽  
Vol 1 ◽  
pp. 31-40
Author(s):  
Tucker Marion ◽  
David Cannon ◽  
Tahira Reid ◽  
Anna-Maria McGowan

AbstractDesign thinking is a methodology that comes from the industrial design realm and is centred on culling better needs insight from users. Another popular methodology is based gaining insight on the potential of an opportunity through experimentation, testing, and iterating with users. This is commonly referred to as lean startup methods. However, from a research perspective, we still do not know the most effective way to implement these user focused design methods within the innovation process within organizations, and which aspects of the design process are the most impactful in developing new opportunities. In this research, we propose a high-level conceptual process model on how user focused design methods such as design thinking and lean startup methods can be integrated into the up-front innovation process within organizations. We review the conceptual model, associated activities, and process considerations. The article concludes with thoughts on future research.


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