A Decomposition-Based Heuristic for Collaborative Scheduling in a Network of Open-Pit Mines

Michelle L Blom; Christina N Burt; Adrian R Pearce; Peter J Stuckey

Journal article

A Decomposition-Based Heuristic for Collaborative Scheduling in a Network of Open-Pit Mines

Michelle L Blom, Christina N Burt, Adrian R Pearce, Peter J Stuckey

INFORMS Journal on Computing | INFORMS | Published : 2014

DOI: 10.1287/ijoc.2013.0590

University of Melbourne Researchers

Michelle Blom Author Computing and Information Systems

Adrian Pearce Author Computing and Information Systems

Peter Stuckey Author Computing and Information Systems

Related Projects (2)

Making The Pilbara Blend: Agile Mine Scheduling Through Contingent Planning

Mine scheduling is a challenging problem for Rio Tinto which annually mines more than 200 Million tonnes of iron ore. This project will deve..

Making The Pilbara Blend: Agile Mine Scheduling Through Contingent Planning

Mine scheduling is a challenging problem for Rio Tinto which annually mines more than 200 Million tonnes of iron ore. This project will deve..

Grants

Awarded by Australian Research Council

Funding Acknowledgements

This research was supported by Australian Research Council [Grant LP110100115] "Making the Pilbara Blend: Agile Mine Scheduling through Contingent Planning."

Citation metrics

4Web of Science

4Scopus

Keywords

Nonlinear Programming

Computer Science, Interdisciplinary Applications

Short-Term Open-Pit Mine Production Scheduling

Operations Research & Management Science

A Decomposition-Based Heuristic for Collaborative Scheduling in a Network of Open-Pit Mines

University of Melbourne Researchers

Related Projects (2)

Making The Pilbara Blend: Agile Mine Scheduling Through Contingent Planning

Making The Pilbara Blend: Agile Mine Scheduling Through Contingent Planning

Grants

Funding Acknowledgements

Citation metrics

Keywords

STUDY AT MELBOURNE

ABOUT US

CONTACT & MAPS

ALUMNI & FRIENDS

RESEARCH

ENGAGEMENT