DocumentCode :
2375440
Title :
A multi-views modeling approach for product lifecycle management in supply chain
Author :
Lihong Jiang ; Boyi Xu ; Hongming Cai
Author_Institution :
Sch. of Software, Shanghai JiaoTong Univ., Shanghai, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
533
Lastpage :
539
Abstract :
Product lifecycle data is considered valuable resource to improve quality of product designing. However, at present, under the environment of E-manufacturing, product data is scattered across different companies during product lifecycle. Because enterprise information systems are heterogeneous, it becomes a challenging task managing product lifecycle data through the complete supply chain. In this paper, firstly, the product lifecycle management process is analyzed from the viewpoint of supply chain. Then, a data model is proposed to represent business activities related to product data generating. In the data model, all business activities are discomposed to three elements which are target, work flow and resource. All product data is composited by these three kinds of elements. Furthermore, in order to integrate heterogeneous data across supply chain, ontology is used to represent the proposed data model. Because that the ontology is abstracted from different companies in supply chain, multi-views modeling method is adopted to construct ontology collaboratively. Finally, based on the data model of ontology, a prototype of product lifecycle management is designed and implemented in the application of a manufacturing company. The case study shows that the ontology-based data model could support the integration of heterogeneous data during product lifecycle flexibly.
Keywords :
information systems; manufacturing systems; ontologies (artificial intelligence); product design; product life cycle management; product quality; production engineering computing; supply chain management; e-manufacturing; enterprise information systems; multiviews modeling approach; ontology-based data model; product data generating; product design quality; product lifecycle data; product lifecycle management; supply chain; Artificial intelligence; Companies; Customer services; Data models; Manufacturing; Materials; Research and development; Manufacturing information system; Multi-views modeling; Ontology; PDM/PLM; Supply chain management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-1211-0
Type :
conf
DOI :
10.1109/CSCWD.2012.6221869
Filename :
6221869
Link To Document :
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