Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13911
Title: A decision support system to facilitate resources allocation : an OLAP-based neural network approach
Authors: Lau, HCW
Ning, A
Ip, WH 
Choy, KL 
Keywords: Artificial intelligence
Decision support systems
Neural nets
Resource allocation
Issue Date: 2004
Publisher: Emerald Group Publishing Limited
Source: Journal of manufacturing technology management, 2004, v. 15, no. 8, p. 771-778 How to cite?
Journal: Journal of manufacturing technology management 
Abstract: The emergence of advanced information technologies strengthens the capability to the entrepreneur to manage and manipulate data. However, the quality of information, the capability of providing the right information to the right person, and the utilization of information are still in doubt. Therefore, increasing numbers of firms have realized and started to develop as well as improve their existing information systems to fit the ever-changing business needs of the organization to support decision-making for the volatile business environment. Indeed, previous research studies have found that logistics management is the great frontier of cost reduction. Therefore, in this paper, an infrastructure of a decision support system is proposed to capture and maintain the business and resources allocation information with the adoption of the neural network for its artificial intelligent characteristic that mimic the operation of human brain to generate solutions systematically. The proposed system is adopted by a shipping company to assist allocation of containers.
URI: http://hdl.handle.net/10397/13911
ISSN: 1741-038X
DOI: 10.1108/17410380410565357
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

12
Last Week
0
Last month
0
Citations as of Aug 11, 2017

Page view(s)

37
Last Week
1
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



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