• Title of article

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

  • Author/Authors

    Manataki، نويسنده , , Areti and Chen-Burger، نويسنده , , Yun-Heh and Rovatsos، نويسنده , , Michael، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    16
  • From page
    23
  • To page
    38
  • Abstract
    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.
  • Keywords
    Supply chain dynamics , knowledge based system , WORKFLOW , Business rules , Supply chain modelling , Supply chain simulation , Intelligent Agent , Supply chain operation
  • Journal title
    Expert Systems with Applications
  • Serial Year
    2014
  • Journal title
    Expert Systems with Applications
  • Record number

    2354164