On the application of wavelets in supply chain data management
R.S. Srinivasan
International Journal of Management and Decision Making, 2008, vol. 9, issue 6, 699-713
Abstract:
Modern supply chains span multiple markets, suppliers and customers. Hierarchical decision making in such supply chains uses models and data with varying granularity for different levels. These models require formal methods of high-fidelity data management. This paper introduces wavelets as a mathematical lens to extract data at different scales. Its development will enrich data selection techniques in modern information-overloaded, volatile supply chains.
Keywords: supply chain management; SCM; data management; hierarchical planning; wavelets; multi-resolution analysis; data aggregation; data disaggregation; decision making. (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=21222 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmdma:v:9:y:2008:i:6:p:699-713
Access Statistics for this article
More articles in International Journal of Management and Decision Making from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().