基于GERT网络的产学研知识流动效应度量

Knowledge Flow Effect Measure of University-Industry Cooperation Based on GERT Network

产学研合作中的知识流动效应度量一直是一个难题,本文以GERT网络与协同学为理论基础,寻求知识流动效应度量的方法。为此,根据知识流动特性,利用GERT网络中的实现概率及矩母函数参量来解析知识流动效应。为了得到矩母函数的分布类型,利用协同学,分析了影响产学研合作的内外因素,建立起随时间变化的知识流动方程,并以此方程作为矩母函数。同时,以大型飞机起落架系统研制为案例,利用专家调查法获取初始数据,并运用前述方法进行知识流动效应分析。通过GERT网络模型对知识流动进行测度,提供了产学研项目研制过程中知识增值大小、流动的顺畅性等重要信息,以此帮助决策者为保证研制项目的按时按质完成采取积极对应措施。

Knowledge flow effect measure of University-industry cooperation （UIC）is always a difficult problem. Based on GERT network and synergetics, the paper searches the method of knowledge flow effect measure. According to knowledge flow characteristics, it analyzes knowledge flow effect by using probability and moment generating function of GERT network. For getting the distribution type of moment generating function, using syn- ergetics theory, the paper analyzes internal factors and external factors of UIC and builds up knowledge flow equation changing over time that is used as moment generating function. At the same time, taking landing gear system of large airplane research an example, using expert investigation method to get initial data , it analyzes knowledge flow effect by the method. By analyzing knowledge flow of GERT network model, it can supply the important information of knowledge value-added amount and flow smoothness to help the decision-maker take positive measures for completing research projects timely and quality.