SCOlog: A logic-based approach to analysing supply chain operation dynamics

Areti Manataki, Yun-Heh Chen-Burger, Michael Rovatsos

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

In a complex business world, characterised by globalisation and rapid rhythms of change, understanding supply chain (SC) operation dynamics is crucial. This paper describes a logic-based approach to analysing SC operation dynamics, named SCOlog. SC operation is modelled in a declarative fashion and it is simulated following rule-based execution semantics. This approach facilitates the automated explanation of simulated SC operational behaviours and performance. The automated explanation support provided by SCOlog is found to improve the understanding of the domain for non-SCM experts. Furthermore, SCOlog allows for maintainability and reusability.
Original languageEnglish
Pages (from-to)23-38
Number of pages16
JournalExpert Systems with Applications
Issue number1
Early online date15 Jul 2013
Publication statusPublished - Jan 2014

Keywords / Materials (for Non-textual outputs)

  • Supply chain modelling
  • Supply chain simulation
  • Supply chain operation
  • Supply chain dynamics
  • Knowledge based system
  • Workflow
  • Business rules
  • Intelligent agent


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