Complex Network Based Modeling and Analysis of Resource Nodes for MG

Manufacturing Grid (MG) is one of the most promising manufacturing modes in recent years, which has been proved to be a complex network characterized with scale-free. In this paper, the resource nodes of MG are treated as the nodes of a network and the linkage among each node is treat as the edges or arcs, based on which a three-element model of G = ( V, E, R) is proposed, and a scene of the optimal composition strategy among the 50 candidate nodes aiming at task A is modeled. Next the static parameter of the degree for a resource node and the synchronization performance of the complex network model for the resource nodes are studied. Results of the paper can promote the management of the manufacturing resource nodes and improve the efficiency of sharing MG resources, so as to facilitate the application and popularization of MG.

The Selection of Manufacturing Grid Resources Node Based on the Model

The complex network model of the manufacturing grid was built based on complex network theory. Based on the model, the degree and its distribution, the mode dole, the average path length and clustering coefficient were studied. Taking an actual manufacturing task as example, the manufacturing resource node selection was performed integrated with the classical intelligent algorithm and the node selection performance is promoted. The research results are help to enhance the global optimization selection ability on the manufacturing resource node.

The Implementation of SLA Mechanism in Manufacturing Grid

. In MG environment, resource consumers choose the optimal resource service according to their non-functional demands for quality of service (QoS) in terms of service execution time, reliability, and availability. Non-functional requirements of QoS can be organized and managed by utilizing Service Level Agreement (SLA) standards. In this study, architectures with QoS oriented mechanism with four layers for MG on the basis of SLA are provided. On the basis of the QoS oriented architectures, the management processes of SLA creation, negotiation and matching, monitoring and verification are discussed. Finally, a simple case is provided.

A service oriented manufacturing grid system with uncertain information

Purpose – The increase in demand variability created by manufacturing enterprises presents new challenges for increasing resource usage and sharing flexibility. For this reason, it is of great importance to research manufacturing grids and their service modes. The purpose of this paper is to establish a systematic strategy and a system tool for manufacturing grid systems. Design/methodology/approach – A manufacturing service oriented manufacturing grid (MSoMG) system is presented with open grid service architecture as the system architecture and GT3.9 as a development tool. A framework is proposed to support MSoMG by providing advisory tools and methods for uncertain information analysis and processing, multi-objective decision making of manufacturing grid service execution, manufacturing grid service performance prediction based on knowledge template, and flexible manufacturing grid service scheduling and solution. The methodology of the adopted rough set is discussed in detail. Finally, the design support strategies for MSoMG are investigated to guide the coordination of manufacturing activities. Findings – Many conventional methods and models become very limited for manufacturing grid service with uncertain information. The processing of uncertain information and reasonable application flow can help to improve the completion rate and reliability of manufacturing grid services. Practical implications – This research provides a solid foundation for manufacturing gird operations and can promote the use of a manufacturing grid mode. Originality/value – A MSoMG system is presented. The manufacturing grid service with uncertain information is considered as well as design support strategies.

Study on Community Structures in Manufacturing Grid and the Algorithm for Community Partition of its Resource Nodes

The Manufacturing Grid supplies a public platform for global resource sharing, collaborative design and manufacturing; its resource nodes constitute a complex network. Community partition of the complex network composed of the manufacturing resource nodes may be of some benefit for the sharing of manufacturing resources efficiently. In this paper, the resource nodes in the Manufacturing Grid are treated as the nodes of the complex network and the node-to-node link as its edges or arcs. The features of the resource nodes are analyzed based on which a model of the complex network composed of resource nodes in the Manufacturing Grid is set up. The nature phenomenon of the community structure in the complex network of manufacturing resource nodes is described according to the division of the manufacturing task into subtasks. Referring to Newmans idea, a criterion to evaluate the partition of community structure is discussed. Then, an improved algorithm based on Newman's Fast Algorithm is put forward to partition the community. The algorithm fully considers the characteristics of the direction and weight in the complex network for manufacturing resource nodes. Examples show that the algorithm presented in the paper can partition the community with favorable results.