DocumentCode
3508018
Title
Future Supply Chain Processes and Data for Collective Intelligence
Author
Watmough, Martin ; Polovina, Simon ; Khazaeri, Babak ; Hill, Richard
Author_Institution
Dept. of Comput., Sheffield Hallam Univ., Sheffield, UK
fYear
2010
fDate
4-6 Nov. 2010
Firstpage
179
Lastpage
185
Abstract
The aim of this paper is to identify the requirements on data that are necessary to support a collective intelligence solution for future supply chains. It is based on an evidential discussion of the information flows in future supply chains and the impact these will have on the life cycle, governance and ownership of data. Supply Chains are facing an increasing complex future if they are to provide the services required while operating in increasingly diverse landscapes and environments. Integration and coordination across the whole supply chain is requiring new approaches, systems and processes therefore data must be enhanced to support these new demands and provide the agility that organisations and consumers envisage. The content of data or data sets is discussed in the context of semantics and Service Orientated Architecture (SOA). A shift in the content of data to include behaviour and increased synchronisation across processes is developed as a possible solution for future supply chains. The evolution and importance of understanding is discussed and developed into a reliance on the integration of data and processes through change control and governance to achieve a collective intelligence across the supply chain.
Keywords
production engineering computing; service-oriented architecture; supply chain management; change control; collective intelligence; future supply chain data; future supply chain processes; service orientated architecture; supply chain management; Behavior; Data; Semantics; Service Orientated Architecture; Supply Chains;
fLanguage
English
Publisher
ieee
Conference_Titel
P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2010 International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4244-8538-3
Electronic_ISBN
978-0-7695-4237-9
Type
conf
DOI
10.1109/3PGCIC.2010.31
Filename
5662791
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