Solving Dynamic Resource Allocation Problem Using Decentralised Multi-agent Systems
Date: 19 Jan 2009 - 19 Jan 2009
Venue: Training Room 1, SIMTech Tower Block, Level 3
Dynamic Resource Allocation Management (DRAM) has been conceived to specifically deal with situational developments in the production shop floor. It is perceived as a supplement to manufacturing execution systems to respond effectively to any unplanned shop floor events that are disruptive to the production schedule. DRAM problem is a very complex NP (Non Polynomial) issue with many variations, particularly when it takes place in a dynamic environment. Multi-agent system is a good approach to solve dynamic allocation problem. A decentralised multi-agent system designed for dynamic resource allocation problems will be presented in two parts, namely (i) Agents Movement System and (ii) Agents Management System.
The Agents Movement System is used to govern the movement of agents and manipulates the task scheduling and workload equalising among machines. A hybrid 'Roam-Space' movements of the decentralised multi-agent system will be discussed. The Agent Management System is proposed to handle dynamic events and provide an environment for agents' negotiation. This presentation will introduce a new dynamic resource allocation problem that considers machine degradation. Based on the proposed decentralised multi-agent system, simulation results from a number of case studies for different types of resource allocation problems will also be discussed.
About the Speaker
Dr Steve S H Ling received the BEng degree from the Department of Electrical Engineering, M. Phil. and PhD degrees from the Department of Electronic and Information Engineering at the Hong Kong Polytechnic University in 1999, 2002 and 2006 respectively. He started his career with the School of Electrical, Electronic and Computer Engineering, University of Western Australia as Postdoctoral Research Associate in 2006 for two years. Currently he is Research Fellow with the Department of Electrical and Computer Engineering, National University of Singapore. With effect from February 2009, Dr Steve Ling will take up the new post of Chancellor's Postdoctoral Research Fellow (lecturer) to teach and research on bio-medical engineering at the University of Technology, Sydney (UTS). Dr Steve Ling has authored and co-authored more than 55 articles on computational intelligence and its industrial applications in many international journals and conferences. His research interests include evolution computations, fuzzy logics, neural networks, hybrid systems, biomedical systems and dynamic scheduling.
2.00pm Presentation by Dr Steve Ling
3.30pm Networking & Refreshments
Who Should Attend
R&D managers, researchers, scientists, engineers, academic professionals and engineering students.
Pre-registration for the lecture is necessary. Seats are available on a first-come, first-served basis.
For technical enquiries, please contact Dr Luo Ming, Research Scientist, Email: mluo@SIMTech.a-star.edu.sg
For registration and event details, please contact Alice Koh, Email: email@example.com