ACM Computing Surveys (CSUR)
Introduction to knowledge systems
Introduction to knowledge systems
Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Experience using the IBM supply chain simulator
Proceedings of the 30th conference on Winter simulation
Supply chain vs. supply chain: using simulation to compete beyond the four walls
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Structured Design: Fundamentals of a Discipline of Computer Program and Systems Design
Structured Design: Fundamentals of a Discipline of Computer Program and Systems Design
Status Report: Software Reusability
IEEE Software
Emergent Supply Networks: System Dynamics Simulation of Adaptive Supply Agents
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 3 - Volume 3
The Value of Information Sharing in a Two-Level Supply Chain
Management Science
A case study of an inter-enterprise workflow-supported supply chain management system
Information and Management
Proceedings of the 38th conference on Winter simulation
An advanced supply chain management tool based on modeling and simulation
Computers and Industrial Engineering
Dynamic modeling and control of supply chain systems: A review
Computers and Operations Research
Analysing Supply Chain Strategies Using Knowledge-Based Techniques
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Modeling Business Processes: A Petri Net-Oriented Approach
Modeling Business Processes: A Petri Net-Oriented Approach
An empirical investigation of net-enabled business value
MIS Quarterly
| Hi-index | 12.05 |
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.