A hybrid intelligent system to enhance logistics workflow: An olap-based ga approach

G. T.S. Ho, C. K.M. Lee, H. C.W. Lau, A. W.H. Ip

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

In today's competitive environment, rapid advances in globalization and information technology have brought change at an unprecedented rate. Manufacturing, merchandising, and service companies are finding that their current approach for existing logistics operation no longer suffices. It is desirable to have a seamless and bi-directional interchange of information, coordination of decisions, and enhancement of assimilation of subsystems within and outside the relevant organization. In this paper, the proposed logistics workflow optimizer embraces the combination of On-Line Analytical Processing and Genetic Algorithm to provide decision support in different logistics activities within the supply chain. In addition, extensible Markup Language is incorporated to support the overall infrastructure, thereby providing essential support in enterprise integration. To validate the feasibility of the Internet-based logistics workflow optimizer, the implementation of the prototype in electronic industry is described, and the approach is applied to the business partner selection.

Original languageEnglish
Pages (from-to)69-78
Number of pages10
JournalInternational Journal of Computer Integrated Manufacturing
Volume19
Issue number1
DOIs
Publication statusPublished - Jan 2006

Keywords

  • Genetic algorithm
  • Logistics workflow
  • OLAP
  • XML

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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