Title :
Analysis of Mixed Production Line Based on Complex Weighted Network
Author :
Yang, Ting ; Zhang, Dinghua ; Chen, Bing ; Li, Shan
Author_Institution :
Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytechcnical Univ., Xi´´an, China
Abstract :
Mixed production line is a complex system which comprises various dynamic elements and complicated structure, so it is difficult to describe and model. In this paper complex weighted network is presented, while mixed production line is simplified to vertices and directed edges in a weighted networks. Manufacturing units are regarded as vertices to denote various resources, such as equipments and workers. In network model the production process acts as a topological generator to create directed edges and network structure. Weight is assigned to represent the intensity of directed process relationships from one vertex to another. Some feature vectors and matrixes are constructed to characterize mathematic model of mixed production line. Moreover some statistical properties might uncover its dynamic status and to obtain important vertices and edges. Especially the connectivity of vertices could exhibit their effects on the whole system. Then corresponding controlling strategies are suggested to maintain stability of mixed production line. Finally an actual mixed production line as an example is analyzed in this paper to exhibit method and approach of complex weight network.
Keywords :
production management; statistical analysis; complex weighted network; manufacturing units; mathematic model; mixed production line analysis; statistical properties; Complex networks; Educational technology; Manufacturing automation; Manufacturing processes; Mathematical model; Mathematics; Production systems; Pulp manufacturing; Stability; Virtual manufacturing; complex network; connectivity; mixed production line; weight;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.463