Title
An Online Analytical Processing Based Predictive System For Better Process Quality In The Supply Chain Network
Abstract
Today, enterprises are under pressure to improve process performance while still remaining customer oriented. The problem of workflow and process quality is a very important issue in supply chain management. Successful improvement of the logistics process has to be viewed as one way of making improvements to the integrated supply chain network. This article describes the application of an Online Analytical Processing (OLAP) based neural ensembles strategy to the acquisition of process knowledge during the supply chain operations. It demonstrates the capabilities of the proposed approach to analyse and predict the quality of the finished product under different process operation parameters. The simulation results indicate that the proposed model is generally superior to the traditional approach by providing real-time prediction and better decision support functionality.
Year
DOI
Venue
2010
10.1504/IJSTM.2010.032882
INTERNATIONAL JOURNAL OF SERVICES TECHNOLOGY AND MANAGEMENT
Keywords
Field
DocType
intelligent system, Online Analytical Processing, OLAP, process quality
Economics,Intelligent decision support system,Decision support system,Supply chain network,Supply chain management,Supply chain,Online analytical processing,Workflow,Operations management,Knowledge acquisition
Journal
Volume
Issue
ISSN
14
1
1460-6720
Citations 
PageRank 
References 
0
0.34
5
Authors
5
Name
Order
Citations
PageRank
G. T. S. Ho148342.55
Henry C. W. Lau230133.27
T. M. Chan300.34
Cassandra X. H. Tang452.81
Y. K. Tse501.01