No abstract

For the design and development problems about intelligent Manufacturing Execution System of tungsten powder processing, the difficulty in the manufacturing execution management is pointed out combining Tungsten powder process flow. Goal of the system is analyzed and its main function is designed. Collaboration as the core, integrated system architecture is established from three aspects of system function, time and space. The physical data model is designed by using PowerDesigner, the manufacturing execution system is developed based on JSP. Through practical enterprise application, it is proved that the system immensely enhance the manufacturing execution management level for the Tungsten powder processing enterprise.

According to the surface quality problem of the solar cells, the machine vision detection system is designed. Concept design of the visual inspection system, hardware configuration and software work process are described in detail. In the experimental process, solar cell images are collected in the motion state, the image characteristics of all kinds of damage are extracted, and the least squares support vector machine algorithm is used to construct the solar cell defect recognition model, the intelligent detection and classification of the solar cells can be achieved. Practice dictates that the system is effective to detect the surface defect of solar cells, guide the production process and improve the quality of products.

The current drop-and-pull (D-P) transport process has many defects, including but not limited to the insufficient information sharing, the private ownership of vehicles and infrastructure, and the mismatch between vehicles and goods. Moreover, the hardware and software of existing freight stations fall short of the demand for D-P transport. To solve these problems, this paper optimizes the design of the D-P transport network based on shared freight station and the hub-and-spoke (H-S) network. The freight stations were taken as the hubs, and the routes between supply/demand point and freight station are treated as spokes. On this basis, an optimization model was established to minimize the total cost of freight stations and maximize the force from freight stations on supply/demand points in the H-S D-P network. In addition, all the supply/demand points in the region are covered by the selected freight stations. The LINGO software was introduced to solve the established model. Taking a region in southern China for example, the proposed shared freight station design was compared with the traditional freight station design. The results show that the single-hub H-S D-P network obtained by the traditional design could meet the demand when the D-P demand was relatively small; however, only the multi-hub H-S D-P network obtained by the shared freight station design could fulfil a large D-P demand in an efficient manner. The research findings show that the shared freight station is the future of D-P transport.

This paper first outline the present conditions of Intelligent Computer Aided Instruction, then elaborate the contents of Intelligent Computer Aided Instruction system, and finally discuss the future development direction of the Intelligent Computer Aided Instruction system.