A web-based ERP data mining system for decision making Online publication date: Wed, 16-Jul-2003
by Ruey-Shun Chen, C.C. Chen, C.C. Chang
International Journal of Computer Applications in Technology (IJCAT), Vol. 17, No. 3, 2003
Abstract: Most of the enterprises having finished, one after the other, in the automation of transaction processing, the key issue for the future competitiveness of enterprises will be the automation of decision-making processing and forecast processing. To complement the deficiency of the forecast flow in enterprise resource planning (ERP) systems, we propose here a data searching architecture that can be built on the ERP system while meeting the individual needs of enterprises and providing real time accurate forecasts on changes in the future market. The present paper is based on the transaction flow processing power of ERP. It integrates the database and online analytical processing (OLAP) technologies, transaction and decision making flows of ERP, then uses data searching technology to integrate decision making and forecast flows. The data-searching engine is the actual design of a categorising module. This research can finish within an hour the analyses and forecasts, which would take the traditional information technology system about three weeks to process the mock analyses. This makes decision making easier for entrepreneurs and thus enables them to handle well the always-changing market and establish themselves firmly. This research applies the ERP data searching system on the IC testing industry. Using the ERP data searching system in this study to investigate the testing status of the testing machine, resolutions are found pinpointing the factors that cause the high frequency of machine down. The results of, according to the actual experiment, the tested testing machine shows an average improvement rate of 83% over the number of machines down.
Online publication date: Wed, 16-Jul-2003
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org