A decision support system to facilitate resources allocation: An OLAP-based neural network approach

H. C W Lau, A. Ning, W. H. Ip, King Lun Tommy Choy

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)771-778
Number of pages8
JournalJournal of Manufacturing Technology Management
Volume15
Issue number8
DOIs
Publication statusPublished - 27 Dec 2004

Keywords

  • Artificial intelligence
  • Decision support systems
  • Neural nets
  • Resource allocation

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Management of Technology and Innovation

Cite this