KQML as an agent communication language
CIKM '94 Proceedings of the third international conference on Information and knowledge management
The AARIA agent architecture: an example of requirements-driven agent-based system design
AGENTS '97 Proceedings of the first international conference on Autonomous agents
An Agent-Based Approach for Manufacturing Enterprise Integration and Supply Chain Management
PROLAMAT '98 Proceedings of the Tenth International IFIP WG5.2/WG5.3 Conference on Globalization of Manufacturing in the Digital Communications Era of the 21st Century: Innovation, Agility, and the Virtual Enterprise
Defining the internet-based supply chain system for mass customized markets
Computers and Industrial Engineering
Agent learning in supplier selection models
Decision Support Systems - Special issue: Decision theory and game theory in agent design
Agent-driven distributed-manufacturing model for mass customisation
Integrated Computer-Aided Engineering
Extended enterprise resource planning: conceptual approach using multiagent systems
ACMOS'08 Proceedings of the 10th WSEAS International Conference on Automatic Control, Modelling & Simulation
WSEAS Transactions on Systems and Control
Computers and Industrial Engineering
Computers and Industrial Engineering
Modelling and simulation of dynamically integrated manufacturing systems
Journal of Intelligent Manufacturing
Hi-index | 0.00 |
A major problem facing manufacturing organisations is how to provide efficient and cost-effective responses to the unpredictable changes taking place in a global market. This problem is made difficult by the complexity of supply chain networks coupled with the complexity of individual manufacturing systems within supply chains. Current systems such as manufacturing execution systems (MES), supply chain management (SCM) systems and enterprise resource planning (ERP) systems do not provide adequate facilities for addressing this problem. This paper presents an approach that would enable manufacturing organisations to dynamically and cost-effectively integrate, optimise, configure, simulate, restructure and control not only their own manufacturing systems but also their supply networks, in a co-ordinated manner to cope with the dynamic changes occurring in a global market. This is realised by a synergy of two emerging manufacturing concepts: Agent-based agile manufacturing systems and e-manufacturing. The concept is to represent a complex manufacturing system and its supply network with an agent-based modelling and simulation architecture and to dynamically generate alternative scenarios with respect to planning, scheduling, configuration and restructure of both the manufacturing system and its supply network based on the coordinated interactions amongst agents.