Modeling of Cloud 3D Printing Service Hyper-Network in Service-Oriented Manufacturing Systems

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. INDEX TERMS Complex network, manufacturing resource services, service-oriented manufacturing (SOM), cloud manufacturing, cloud 3D printing, order-driven.

Assessment of researches and case studies on Cloud Manufacturing: a bibliometric analysis

“…❼ Industry 4.0 and cloud computing systems (31 articles): This cluster contains studies about experimental prototypes, platforms and/or applications of practical demonstrations that aimed at illustrating the applicability of Cloud Manufacturing in a generic point of view. Such cases must either: (i) present the application of emerging technologies as additive manufacturing (3D printing) [46], internet of things (IoT) [47] and other human-machine interaction approaches in advanced manufacturing of industry 4.0, (ii) test the functionality of prototypes, comparing them to other models in order to validate benefits and disadvantages of adopting Cloud Manufacturing networks and systems [23], or (iii) highlight implementation challenges and requirements to achieve success in the adoption of virtual manufacturing [11][29].…”

Evaluation of Cloud 3D Printing Order Task Execution Based on the AHP-TOPSIS Optimal Set Algorithm and the Baldwin Effect

“…Assume that each particle is an optional combination of service resources, where a service resource is selected from each candidate service set list to form a combination of service resources [ 35 ]. The initial scale of the particles is the n-population of the feasible dimension space , and each scale of particles corresponds to an optional combination of the number of service resources.…”

Research on Task-Service Network Node Matching Method Based on Multi-Objective Optimization Model in Dynamic Hyper-Network Environment

“…The optimal problem with two or two numerical objectives in a given region is called the Multiple-Objective Optimization Problem (MOP). At present, the solution of MOP is the conversion of multiple objectives into a single objective according to a utility function [34]. Therefore, an objective variable is constructed based on the node proximity and node criticality of the task-service network when the adjacency matrix similarity acts as a constraint.…”