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Simulation-based Manufacturing System Modeling
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作者 卫东 金烨 +1 位作者 范秀敏 严隽琪 《Journal of Donghua University(English Edition)》 EI CAS 2003年第1期27-31,共5页
In recent years, computer simulation appears to be very advantageous technique for researching the resource-constrained manufacturing system. This paper presents an object-oriented simulation modeling method, which co... In recent years, computer simulation appears to be very advantageous technique for researching the resource-constrained manufacturing system. This paper presents an object-oriented simulation modeling method, which combines the merits of traditional methods such as IDEF0 and Petri Net. In this paper, a four-layer-one-angel hierarchical modeling framework based on OOP is defined. And the modeling description of these layers is expounded, such as: hybrid production control modeling and human resource dispatch modeling. To validate the modeling method, a case study of an auto-product line in a motor manufacturing company has been carried out. 展开更多
关键词 Discrete event simulation Automotive Production Line Hybrid-control Work-force resource Management.
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A Phase Space Reconstruction Based Approach to Throughput Prediction in Semiconductor Wafer Fabrication System 被引量:1
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作者 吴立辉 张洁 《Journal of Donghua University(English Edition)》 EI CAS 2010年第1期81-86,共6页
In order to manage and control semiconductor wafer fabrication system (SWFS) more effectively,the daily throughput prediction data of wafer fab are often used in the planning and scheduling of SWFS.In this paper,an ar... In order to manage and control semiconductor wafer fabrication system (SWFS) more effectively,the daily throughput prediction data of wafer fab are often used in the planning and scheduling of SWFS.In this paper,an artificial neural network (ANN) prediction method based on phase space reconstruction (PSR) and ant colony optimization (ACO) is presented,in which the phase space reconstruction theory is used to reconstruct the daily throughput time series,the ANN is used to construct the daily throughput prediction model,and the ACO is used to train the connection weight and bias values of the neural network prediction model.Testing with factory operation data and comparing with the traditional method show that the proposed methodology is effective. 展开更多
关键词 daily throughput prediction phase space reconstruction artificial neural network
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Geometric Feature Extraction and Model Reconstruction Based on Scattered Data
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作者 胡鑫 习俊通 金烨 《Journal of Donghua University(English Edition)》 EI CAS 2004年第4期86-89,共4页
A method of 3D model reconstruction based on scattered point data in reverse engineering is presented here. The topological relationship of scattered points was established firstly, then the data set was triangulated ... A method of 3D model reconstruction based on scattered point data in reverse engineering is presented here. The topological relationship of scattered points was established firstly, then the data set was triangulated to reconstruct the mesh surface model. The curvatures of cloud data were calculated based on the mesh surface, and the point data were segmented by edge-based method; Every patch of data was fitted by quadric surface of freeform surface, and the type of quadric surface was decided by parameters automatically, at last the whole CAD model was created. An example of mouse model was employed to confirm the effect of the algorithm. 展开更多
关键词 Reverse engineering Scattered data Feature extraction Model reconstruction.
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