文献类型：期刊文献

英文题名：Analysis of information propagation mechanism based on hierarchical temporal memory

作者：Xiao, Hai Dong[1,2]; Chen, Ning[3]

机构：[1] Shanghai Advanced Research Institute, Chinese Academy of Science, Shangha, 201210, China; [2] Sino-Us Globe Logistics Institute, Antai College of Economics and management, Shanghai Jiaotong University, Shanghai 200030, China; [3] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2014

卷号：602-605

起止页码：3429

外文期刊名：Applied Mechanics and Materials

收录：EI(收录号：20143518113176)

语种：英文

外文关键词：Data fusion - Information dissemination - Chains

摘要：This paper proposes to develop method for disruption mechanism analysis of supply chain systems against information propagate fluctuation, information distortion and non recurrent disasters,with an objective of achieving recognition of supply chain disruption mechanism and control efficiency. Disruption knowledge structure preferences will be modeled and evaluated under different types of supply chain scenarios. A hierarchical temporal memory modeling framework incorporating various measures is established, which can be used to better understand the effects of disruption preferences on supply chain planning, and to find a robust solution against disruption scenarios. Simulation includes supply chain disruption management using past disruption scenario of individual phases data will be carried out for HTM training and testing analysis of model parameters. A key feature of this proposed research distinguishing itself from most existing studies is the integration of hierarchical temporal memory technology and the disruption management of the entire supply chain. ? (2014) Trans Tech Publications, Switzerland.