DocumentCode :
1871419
Title :
Applying big data and linked data concepts in supply chains management
Author :
Robak, S. ; Franczyk, Bogdan ; Robak, Marcin
Author_Institution :
Univ. Zielonogorski, Zielona Góra, Poland
fYear :
2013
fDate :
8-11 Sept. 2013
Firstpage :
1215
Lastpage :
1221
Abstract :
One of the contemporary problems, and at the same time a big opportunity, in business networks of supply chains are the issues associated with the vast amounts of data arising there. The data may be utilized by the decision support systems in logistics; nevertheless, often there is an information integration problem. The problems with information interchange are related to issues with exchange between independently designed data systems. The networked supply chains will need appropriate IT architectures to support the cooperating business units utilizing structured and unstructured big data and the mechanisms to integrate data in heterogeneous supply chains. In this paper we analyze the capabilities of the big data technology architectures with cloud computing under usage of Linked Data in business process management in supply chains to cope with unstructured near-time data and data silos problems. We present our approach on a 4PL (Fourth-party Logistics) integrator business process example.
Keywords :
business process re-engineering; cloud computing; decision support systems; logistics; supply chain management; 4PL; IT architectures; big data concept; big data technology architectures; business networks; business process management; cloud computing; data silos problems; decision support systems; fourth-party logistics integrator business process example; heterogeneous supply chains; information integration problem; information interchange; linked data concept; networked supply chains; supply chain management; Data handling; Data storage systems; Europe; Information management; Supply chains;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on
Conference_Location :
Krako??w
Type :
conf
Filename :
6644169
Link To Document :
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