Industry Collaborative Project: Robust, Real-time,
Constraint-Based Scheduling
Project Outline
- This project seeks to investigate, develop, and deploy, in
collaboration with the industry partner BHP-Information Technology, a
new scheduling framework that can be broadly classified as belonging to
the class of intelligent scheduling techniques. We propose to conduct
this research in the context of developing an industrial-scale
scheduling system for BHP-House Framing, a client of BHP-IT, to support
the relatively complex decision making processes in scheduling the
fabrication and delivery of steel house frames. We also aim to define a
general methodolgy for developing similar solutions for scheduling
applications that can be used in a wide range of settings.
Project participants:
Research Partners:
- Prof. Randy Goebel,
Department of Computing Science, University of Alberta, Edmonton,
Canada.
- Prof. William S.
Havens, School of Computing Science, Simon Fraser University,
Vancouver, Canada.
- Dr. Grigoris Antoniou,
School of Computing and Information Technology, Griffith University,
Brisbane, Australia.
- BHP-IT.
- Other members include graduate students and
research staff.
Funding
- $147,000 Australian Research Council Collaborative Grant (SPIRT),
jointly held with Joseph Davis and Li-Yen Shue.
Post-Graduate Research Opportunities
Click here to
find out more about opportunities for research and post-graduate studies
related to this project.
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