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

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

doi:10.1016/j.eswa.2013.07.008

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

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

School of Mathematical & Computer Sciences

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

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.

Original language	English
Pages (from-to)	23-38
Number of pages	16
Journal	Expert Systems with Applications
Volume	41
Issue number	1
DOIs	https://doi.org/10.1016/j.eswa.2013.07.008
Publication status	Published - Jan 2014

Keywords

Multi-agent systems
Supply chain management
Knowledge based systems
decision support system

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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.",

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AB - 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.

KW - Multi-agent systems

KW - Supply chain management

KW - Knowledge based systems

KW - decision support system

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

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Keywords

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