基于貝葉斯和決策樹方法的汽車電子研發(fā)項(xiàng)目變更決策模型研究
[Abstract]:With the arrival of the mobile Internet era, new technologies are springing up and emerging in various fields at an unprecedented speed. According to relevant statistics, 70% of the innovation in the current automotive industry comes from automotive electronics technology. Similarly, judging from the development of PC, mobile phones, we are confident enough to predict that automotive electronics will soon become a war taker in the automotive industry. YFVE, a subsidiary of SAIC, although in the traditional automotive interior and exterior decoration, the low-end automotive electronics field occupies the top position in the domestic market. It also occupies a certain market share in the world, but it is still in its infancy for the high-end automotive electronics with high-tech innovation technology. And after two years of trial, although the company's automotive electronics research and development fell, and finally failed. However, in this research and development process, it is revealed that the most important problem is the lack of the ability to make change management decisions for hi-tech R & D projects with variability. For high-tech automotive electronics projects with innovative nature, because there are few experiences to learn from, and there is a great uncertainty in technology, so the traditional project management methods, Especially for the change management decision-making method can not meet the needs of such automotive electronics R & D projects. In order to solve the problem of project change management in automotive electronics R & D projects, we need to find a scientific and systematic method to assist us in management, especially in the analysis and decision management of uncertain technical changes. This paper first introduces the development history and current situation of automotive electronics technology, and then expounds the problems occurred in the decision making of change management for R & D projects in YFVE Company. Then in the third chapter will focus on the establishment of a decision model. The prior probability of change is analyzed based on Bayesian decision method, and a more reasonable and accurate posterior probability is obtained. Then the decision tree is used to analyze and compare the possibility of technology change, and through the income analysis, the decision that may bring the maximum profit is selected. Finally, combined with the actual use case of the new high-end R & D project obtained by YFVE Company this year, this paper expounds the actual application and effect of the model in the work, so as to effectively prove the scientific nature and feasibility of the model.
【學(xué)位授予單位】:上海交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:TP18;F426.471
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