Marcos Goycoolea

Professor Goycoolea's research centers on the design and development of large-scale optimization systems with a focus on production scheduling in natural resource management as well as in optimization theory.

His natural resource work spans both mining and forestry. In mining Dr. Goycoolea works on open-pit mine scheduling, where he seeks to integrate different decision-making aspects of the problem, including sequencing, extraction, transportation, and mill / stockpile management. His work on forestry consists in developing harvest scheduling techniques incorporating new environmental regulations. He is especially interested in maximum clearcut and old-growth forest requirements as specified by the Forest Stewardship Council (FSC) and/or The Sustainable Forestry Initiative (SFI).

Dr. Goycoolea also works on general aspects of optimization. He is particularly interested in improving the way we use computers to solve optimization problems. For this he has developed a number of algorithmic techniques for improved numerical accuracy, use of parallel computing and for handling large amounts of data while problem-solving. Together with his collaborators he has solved record-breaking instances of the Traveling Salesman Problem.

Dr. Goycoolea regularly publishes and referees in his field's top academic journals. He is a member of the Institute for Operations Research and the Management Sciences, the Society of Mining Engineers and the Mathematical Programming Society. He has participated as principal investigator of numerous grants including two FONDECYT grants, one FONDEF grant and one ANILLO grant. His research can be found in use in optimization packages such CPLEX, COIN-OR and CONCORDE, as well as in the harvest scheduling software HEUREKA. He has worked with IBM Research, American Airlines, Dayjet Systems, CODELCO, and NCL consulting.

Ph.D. Operations Research. Major: Optimization, Georgia Institute of Technology
Graduate of Engineering Sciences. Major: Mathematics, Universidad de Chile

Applications of Operations Management and Research. Theory and Methodology, Computer Optimization Systems