Contribution to Book
OLAP for Multicriteria Maintenance Scheduling
Proceedings of the 5th International Conference on Data Mining (DMIN '09)
(2009)
Abstract
Widely used in decision support systems, OLAP (Online Analytical Processing) technology facilitates interactive analysis of multi-dimensional data of varied granularities. In this paper, we demonstrate an interesting application of OLAP in solving multicriteria maintenance scheduling problems. Maintenance scheduling has many important applications, such as maintenance of inverted indexes for search engines and maintenance of extracted structures for unstructured data management systems. We introduce the design and implementation of Scube, an OLAP-based web service that allows users to navigate in a multi-dimensional
simulation cube and comprehensively evaluate maintenance schedules. Based on the evaluation, the best trade-off schedule can be selected.
Keywords
- OLAP,
- multicriteria maintenance scheduling,
- Pareto set,
- decision support
Disciplines
Publication Date
2009
Editor
Robert Stahlbock, Sven F. Crone, Stefan Lessmann
Publisher
CSREA Press
ISBN
1-60132-099-X
Publisher Statement
This article originally appeared in Proceedings of the 2009 International Conference on Data Mining (DMIN 2009), ©CSREA Press. The full proceedings may be found at the following links:
- Table of Contents
- Proceedings
- Author Index
Citation Information
Walter Cai, David C. Anastasiu, Mingji Xia and Byron J. Gao. "OLAP for Multicriteria Maintenance Scheduling" Proceedings of the 5th International Conference on Data Mining (DMIN '09) (2009) p. 35 - 41 Available at: http://works.bepress.com/david-anastasiu/14/