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
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
Journal title :
Expert Systems with Applications