Weighted Evolutionary Model Of Complex Manufacturing Process And Node Criticality Analysis

In the real world, there are a lot of complex networks existed in either macro ormicroscopic world. The rise of complex networks theory, which has led to moreresearch and attention of many scholars on large-scale and complicated system. Theresearch work that concerning complex system modeling, the description andunderstanding of network characteristics is very active. On the basis of reviewing therelated studies in both at home and abroad, this paper builds complex networkevolution model of product manufacturing process which have combined theadvantage of the complex network theory in the complex system evaluation, usingstatistical physics, graph theory, the operational research and computer simulationmethods. This paper have made some analysis and research on the network ofcomplex products manufacturing process with relevance to this two aspects: featureextraction and validation of the complex network evolution model, and nodeimportant degree analysis. And it focuses on microscopic characteristics ofmanufacturing process evolution on the typical complex mechanical and electricalproducts, such as resource nodes service quality, the load characteristics and evolutionprocess of structure changes. The major work of this paper is as follows:1）Based on the complex network theory, this paper builds complex productmanufacturing process dynamic evolution model which define every equipmentresource of the system as network node, the relationship between resource as edge,add the task load of each resource at the same time, then build product manufacturingprocess weighted evolution model network according to the network scale changesarisen from task’s dynamic arrived and exited.2）Based on the typical features of the complex product manufacturing process,three evolution mechanism is constructed: one evolution model is that the point rightand the edge right driven by the service quality changes at the same time, another isthe flexible adjustable weighted network evolution model, and the third evaluation model is that the service quality of resource nodes is limited by comparing with reality,this evaluation mechanism is proved rationality and validity. Finally some usefulconclusions are drawn.3） Based on the model and complex mechanical and electrical productsmanufacturing process instance, the important degree evaluation index system ofresource nodes is given through the network topology position differences and the keyattribute of node itself, and then put forward an assessment method of the importantdegree of the product manufacturing process resource nodes. The results show that themethod can effectively explore the important resources node in complex productmanufacturing.4）Summing up, and put forward some further meaningful doable research works.