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SCOlog: A logic-based approach to analysing supply chain operation dynamics
Affiliation:1. Charlton College of Business, University of Massachusetts – Dartmouth, 285 Old Westport Road, North Dartmouth, MA 02747-2300, USA;2. Department of Management & Marketing,The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, PR China.
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 modelling  Supply chain simulation  Supply chain operation  Supply chain dynamics  Knowledge based system  Workflow  Business rules  Intelligent agent
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