A Knowledge-based Customization System for Supply Chain Integration

Chi Fai Cheung, C. M. Cheung, S. K. Kwok

Research output: Journal article publicationJournal articleAcademic researchpeer-review

35 Citations (Scopus)

Abstract

Hostile environmental pressure on supply chain management increases emphasis on supply chain agility, integration, and visibility to respond rapidly, effectively and efficiently to changes in the marketplace. There is a need for new methods and tools to visualize the supply chain topologies which captures and recognizes the complexity of the supply chain network. This paper presents a Knowledge-based Customization System for Supply Chain Integration (KCSSI) which is developed based on three core technologies: visualization of topologies, network analysis, and knowledge-based system so as to obtain quantified actionable information and formulating strategies for supply chain configuration leading the long term success. The performance of the system is verified by a series of controlled simulation experiments conducted in a selected reference site. It is verified that the KCSSI improves supply chain visibility by recognizing the structure clustering and interconnection of the supply chain network, quantifying and exploiting holistic supply chain performance to provide measurable insights for the customization of the supply chain configuration leading to long term success.
Original languageEnglish
Pages (from-to)3906-3924
Number of pages19
JournalExpert Systems with Applications
Volume39
Issue number4
DOIs
Publication statusPublished - 1 Mar 2012

Keywords

  • Knowledge management
  • Knowledge-based system
  • Network analysis
  • Optimization
  • Radio-frequency identification
  • Supply chain management
  • Topology visualization

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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