Title :
A Grammar-Based Supply Chain Process Modeling Method
Author :
Qin, Fan ; Ke, Yongzhen ; Xiao, Jianhua
Author_Institution :
Logistics Manage. Dept., Nankai Univ., Tianjin, China
Abstract :
In this paper, a modeling method of supply chain process (SCP) based on SCP grammar definition and analyst is proposed. In this method, a SCP is taken as a whole sentence. On basis of this idea, the syntactic structure of supply chain process is defined and analyzed by considering the characteristics of SCP and using mainly two natural language processing method -- phrase structure grammar (PSG) and augmented transition network (ATN). This SCP modeling method can be used on establishing SCP parser for SCP design, analyst and redesign.
Keywords :
grammars; natural language processing; supply chain management; ATN; PSG; SCP grammar definition; SCP parser; augmented transition network; grammar-based supply chain process modeling; natural language processing; phrase structure grammar; syntactic structure; Grammar; Natural language processing; Organizations; Presses; Supply chains;
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
DOI :
10.1109/ICCASE.2011.5997871
