Research On The Resources Integration And Optimization Of Complex Product Collaborative Innovation Considering The Multi-subject Correlation

Complex products are affected by special attributes such as multiple components,complex research and development technology and small-volume production of individual parts.Therefore,it is becoming a general trend of complex product research and development to decompose complex products into modules and let different enterprises cooperate with each other to jointly complete design and manufacturing tasks.Collaborative innovation,as an innovative way that can effectively improve the efficiency of innovation in recent years,has opened up new ideas for the research and development of complex products.However,resource integration is one of the key links in the process of collaborative innovation of complex products.Under the resource integration behavior led by the main manufacturer,the benefits of resource integration are not only affected by various resources themselves,but also by the integration subject relationship.Research both at home and abroad in this paper,the system of complex product collaborative innovation,resource integration,complex network node correlation,and multiple attribute decision making,on the basis of theory and method,by using the theory of TOPSIS(Technique for Order Preference by Similarity to an Ideal Solution),multiple nodes correlation degree evaluation indicators,collaborative innovation tools task decomposition,starting from the perspective of considering the multi-agent correlation,establish collaborative complex product innovation model,the optimal strategy resource integration as a whole and carries out a comparative analysis on the ultimate effect of the model.The following is the main research content of the paper.Firstly,the concept of collaborative innovation of complex products,the theory of resource integration and optimization,and the concept and method of complex network node correlation degree are elaborated,and the related theories and methods of multi-attribute decision making are systematically sorted out to lay a theoretical foundation for further building related models.Secondly,it defines the concept of resources and defines its research scope,analyzes the connotation of complex product collaborative innovation resources,and reveals its composition and characteristics.On this basis,the motivation of collaborative innovation of complex products is analyzed,and its objectives and principles are proposed.On the basis of comprehensiveconsideration of the characteristic attributes of multiple subjects in collaborative innovation of complex products,this paper analyzes the correlation relationship between multiple subjects,and proposes two topological network structures of the association relationship between multiple subjects in collaborative innovation of complex products,namely,axial-amplitude topological network structure and hierarchical link network structure.Then,in the axle-amplitude topological network structure and hierarchical link network structure,the mathematical model of the relational degree algorithm of complex network nodes is established by using the relational degree algorithm,and a comprehensive evaluation is conducted based on multiple indexes of the relational degree algorithm of the multi-attribute decision-making method.Furthermore,a model of resource integration and optimization for collaborative innovation of complex products with multi-subject correlation degree is constructed to analyze the ultimate benefits of resource integration from the perspective of overall optimization.At the same time,a resource integration optimization model without considering the correlation degree of multiple subjects is constructed,and the overall optimal benefits of resource integration in the two cases are compared and analyzed.Finally,ucinet software is used to calculate the degree of correlation between each node and the central node under different network structures,and Lingo software is used to calculate the impact of each parameter on the overall profit of resource integration under different degrees of correlation,and relevant countermeasures and Suggestions are proposed.The results show that the multi-subject correlation degree has an impact on the overall optimal benefit of the integration of collaborative innovation resources of complex products.However,considering the degree of multi-agent association,the overall optimal resource integration benefit of the complex product collaborative innovation with axial-amplitude topological network is higher than that of the hierarchical link network.