Abstract
According to the theory of a complex network, the overall characteristics are derived from complex interactions among its components, that is, network structure. For its service network, its overall characteristics are its functions. In view of the coordinated linkage between the 3D printing industry and the logistics industry, 3D printing is deeply integrated with Internet technology, digital casting technology and Internet + service platforms. We propose a hyper-network model of raw material suppliers, semi-finished product processors and finished product manufacturers that realize on-demand customization. To analyse, design, and build the cloud 3D printing manufacturing capability service competition network, we propose a 3D printing service node structure model based on a super network using a reference and cloud manufacturing service model. The model's mathematical structure is given in detail. Under this condition, it is necessary to discuss the interaction between the logistics service level, productivity level and product processing quantity. The process of the proposed model and method is given, and the validity is proven with a case study of a Cloud 3D printing service hyper-network in service-oriented manufacturing systems.
Highlights
In the socialization process of advanced manufacturing systems (AMSs), the applications of the Internet of Things (IoT), big data and cloud technologies in manufacturing play increasingly important roles [1]
Considering manufacturing capability services, there are essential differences between cloud 3D printing services (C3DPSs) and traditional resource services that are related to the participation of people [3]
Social networks mainly refer to networks that are composed of complex connections between social individuals and individuals
Summary
In the socialization process of advanced manufacturing systems (AMSs), the applications of the Internet of Things (IoT), big data and cloud technologies in manufacturing play increasingly important roles [1]. THE SELECTION OF C3DPS NODES AND DESIGN OF THE DATABASE Using these C3DPSs in the associated network as the object of research, the structure of the manufacturing capability information model is described and processed such that they are realized in a specific way, including the extraction and classification of various feature attributes in the model. On this basis, this paper proposes a method in which the different characteristics of forms and granularity information are described by DDL and formed by the relationships between manufacturing capability services[26]. This model slice process is composed of the data model, and two business logic activities form the sub-task, and the relationship between the two business logic activities in this step is sequential and parallel
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