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
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