Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30251
Title: Design and implementation of an object-oriented Information management system
Authors: Lau, HCW
Tang, CXH
Ho, GTS
Lee, CKM
Keywords: Business intelligent system
Database management system
Object-oriented
OLAP
Online analytical processing
Issue Date: 2007
Publisher: InterScience
Source: International journal of computer applications in technology, 2007, v. 28, no. 2-3, p. 195-208 How to cite?
Journal: International journal of computer applications in technology 
Abstract: Competitive advantage is gained through operational excellence strategy while quality decisions, reviews and plans facilitate the production of quality products through the adoption of best practice as well as reduction of minimal waste and downtime. Efficient data collection with high accuracy is one of the key success factors to generate quality information, which has sufficient ability to transform data into economic value. However, inefficiency and ineffectiveness in the information life-cycle, including activities such as collect, store, use, analyse and share data, are often the common sick symptoms for most organisations. In general, the enterprises spend too much unnecessary resource on data collection and storage, and less on facilitating data analysis and sharing. This paper demonstrates how to analyse, design and develop an object-oriented information management system to re-engineer and improve the existing problems of inefficient data and information flow. In addition, it supports the data and information analysing technique to facilitate the decision-making and manufacturing process improvement. A case study on a manufacturing small and medium-sized enterprise has been conducted with promising results to validate the feasibility of the approach.
URI: http://hdl.handle.net/10397/30251
ISSN: 0952-8091
EISSN: 1741-5047
DOI: 10.1504/IJCAT.2007.013357
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

33
Last Week
0
Last month
Checked on Nov 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.