dc.contributor.author |
Schmitz, P
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dc.contributor.author |
Scheepers, L
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dc.contributor.author |
de Wit, PWC
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dc.contributor.author |
De la Rey, A
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dc.date.accessioned |
2007-11-07T12:49:17Z |
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dc.date.available |
2007-11-07T12:49:17Z |
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dc.date.issued |
2007-09 |
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dc.identifier.citation |
Schmitz, PMU et al. 2007. Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model. Logistics Research Network Annual Conference, Hull, United Kingdom, September 5-7 2007, pp 6 |
en |
dc.identifier.uri |
http://hdl.handle.net/10204/1441
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|
dc.description |
2007: Logistics Research Network Annual Conference, UK |
en |
dc.description.abstract |
Spatial data such as roads and land parcels is increasingly becoming a commodity that is being created with the aim to sell or to provide spatial information to other institutions for further processing or to decision makers to aid in their decision processes. This paper looks into the spatial data supply chain of ESI-GIS unit of Eskom and the use of an adapted SCOR model (GISDataSCOR) to model and analyse the supply chain. Spatial data needs to be sourced from various sources (SOURCE), which is then stored in a data warehouse. The spatial data is then sourced from the data warehouse and transformed into a new spatial data set using Geographic Information Systems (GIS) (MAKE) and the new spatial data set is delivered to a customer (DELIVER). RETURN in this environment deals only with defective data sets. It is of the opinion from the researchers that data as a commodity will play an important part of the future economies and that data supply chains are one of the supply chains of the future and that supply chain management is going to play prominent role in ensuring that data is sourced, created and delivered efficiently and effectively. |
en |
dc.language.iso |
en |
en |
dc.subject |
Geographic information systems |
en |
dc.subject |
Supply chains |
en |
dc.subject |
Supply chain management |
en |
dc.subject |
Spatial data |
en |
dc.subject |
SCOR |
en |
dc.subject |
Supply-chain operations reference |
en |
dc.title |
Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
Schmitz, P., Scheepers, L., de Wit, P., & De la Rey, A. (2007). Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model. http://hdl.handle.net/10204/1441 |
en_ZA |
dc.identifier.chicagocitation |
Schmitz, P, L Scheepers, PWC de Wit, and A De la Rey. "Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model." (2007): http://hdl.handle.net/10204/1441 |
en_ZA |
dc.identifier.vancouvercitation |
Schmitz P, Scheepers L, de Wit P, De la Rey A, Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model; 2007. http://hdl.handle.net/10204/1441 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Schmitz, P
AU - Scheepers, L
AU - de Wit, PWC
AU - De la Rey, A
AB - Spatial data such as roads and land parcels is increasingly becoming a commodity that is being created with the aim to sell or to provide spatial information to other institutions for further processing or to decision makers to aid in their decision processes. This paper looks into the spatial data supply chain of ESI-GIS unit of Eskom and the use of an adapted SCOR model (GISDataSCOR) to model and analyse the supply chain. Spatial data needs to be sourced from various sources (SOURCE), which is then stored in a data warehouse. The spatial data is then sourced from the data warehouse and transformed into a new spatial data set using Geographic Information Systems (GIS) (MAKE) and the new spatial data set is delivered to a customer (DELIVER). RETURN in this environment deals only with defective data sets. It is of the opinion from the researchers that data as a commodity will play an important part of the future economies and that data supply chains are one of the supply chains of the future and that supply chain management is going to play prominent role in ensuring that data is sourced, created and delivered efficiently and effectively.
DA - 2007-09
DB - ResearchSpace
DP - CSIR
KW - Geographic information systems
KW - Supply chains
KW - Supply chain management
KW - Spatial data
KW - SCOR
KW - Supply-chain operations reference
LK - https://researchspace.csir.co.za
PY - 2007
T1 - Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model
TI - Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model
UR - http://hdl.handle.net/10204/1441
ER -
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en_ZA |