A wireless sensor network (WSN) is a large collection of sensor nodes with limited power supply and constrained computational capability. Clustering routing method in wireless sensor networks has been considered as an important field of research recently to prolong the network lifetime of WSNs. We present a novel clustering method that can balance the energy consumption and extend the lifetime of WSN. Network nodes can be divided into densely connected subgroups through the algorithm of detecting community structure in complex networks. Moreover, the role of cluster-head is scheduled among the cluster members according to the residual energy of nodes, and then the cluster heads send the data to the sink directly. Based on the community clustering strategy, a novel routing protocol, called community structure clustering routing protocol (CSCR), has been raised for WSN. Performance evaluation has shown that the proposed method can achieve improvement compared with LEACH and SEP.

With the developing of industry, the topic of energy-saving is attracting more and more attentions. However, the attentions have focused primarily on the design activities of the firm. The planning/scheduling activities of manufacturing are neglected. In this paper, a mathematical model, which considers the energy consumption and preventive maintenance of equipment in the flexible job shop, is established, three objectives, such as the minimization of maximum completion time, the minimization of total production energy costs and the minimization of total energy costs of maintenance that are quantized by electricity, are taken into account. The algorithm of NSGA-II is presented to solve the optimization model, and experimental results validate the effectiveness of the proposed approach.

This paper proposes a new algorithm of gravity-like mechanism and a multistage buffer for the car sequencing problem. The algorithm utilizes the principle of gravity and codes the cars as particles, which can achieve the ordering by the gravity of particles themselves in the sequencing buffer. The Petri net model of the Buffer is proposed and a car sequencing problem is analyzed as an example, the results prove that the algorithm and the buffer can perform well in car sequencing problem.

Computer supported collaborative work (CSCW) technology is used to solve the resource-sharing problems in collaborative design, analysis, and manufacture. To address this need, a system called CollabVue for collaborative product design between designers and manufacturers is proposed in this study. This paper first introduces the framework of tolerance analysis system based on CollabVue, and then discusses the utilization of geometric topology information in 3D model to resolve the problem of dimension information input and the related specific operations. Based on object-oriented technology, a new data structure to interactively pick up and store dimension information is established. Finally the model uses iterative method to compute technological dimension chain equation.

Digital Factory (DF) technology is one of the most important part of manufacturer enterprise information systems, its core technology is modeling & simulation. This paper introduced the digital factory concept and its functions with multi-level multi-resolution modeling and simulation method; we established a new framework of the digital factory technology. It combines with the features of DF and simulation technology which expands the development of DF and application of simulation technology. A case was taken to show the feasibility of multi-level modeling & multi-resolution simulation technology attaching to the DF technology.