DocumentCode :
2766152
Title :
Research on component design method of inventory management based on business model and cluster algorithm
Author :
Liu, Siqi ; Liu, Shifeng ; Luo, Linna
Author_Institution :
Sch. of Econ. & Manage., Beijing Jiao tong Univ., Beijing, China
fYear :
2012
fDate :
2-4 July 2012
Firstpage :
123
Lastpage :
128
Abstract :
Business modeling and Business components designing have lots of construction methods which have been proved insufficient in lots of cases. According to this problem, this paper presents a business model description method which is descripted by UML and consists of a business entity view and a business control view. Besides, it offers a transformation mechanism from UML model to Petri. At the same time, on the basis of semantic analysis of business model, the clustering algorithm formula which is introduced to divide the process of business component more effectively between classes is given. Then this paper builds up an Inventory Management business model of an enterprise for discussing business component identification, analysis and designing in practical using.
Keywords :
Petri nets; Unified Modeling Language; business data processing; inventory management; object-oriented methods; pattern clustering; Petri; UML model; business component identification; business control view; business entity view; business model description method; clustering algorithm; component design method; construction method; enterprise; inventory management business model; semantic analysis; transformation mechanism; Clustering algorithms; Correlation; Educational institutions; Inventory management; Semantics; Unified modeling language; Inventory Management; Petri; business model; cluster algorithm; component design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Systems and Service Management (ICSSSM), 2012 9th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-2024-6
Type :
conf
DOI :
10.1109/ICSSSM.2012.6252205
Filename :
6252205
Link To Document :
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