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MACC Researchers
Philip Tominac Philip Tominac
Ph.D. Candidate
Supervised by Dr. Vlad Mahalec

Start date
September 2013

Email
tominapa@mcmaster.ca

Education
Bachelor's, Chemical Engineering, McMaster University (2012)
M.Eng, McMaster University (2013)

Topics
Optimal Planning and Scheduling

Research Title
Electric power systems production planning and scheduling

Research Objectives
Optimal scheduling of process systems is an important tool in globally competitive industries where operating in the most efficient means can result in significant profit margins. Advances in computational technology have made solving complex scheduling problems more feasible in industry, but many scheduling formulations suffer from high dimensionality and combinatorics which make obtains high quality solutions difficult. Instead of solving such difficult problems head on, it is possible to decompose them into forms which have better properties and are easier to solve. Decomposition algorithms take advantage of the properties and structure of difficult problems and express them as the solution of multiple smaller problems. The Benders and Lagrangian decomposition algorithms are two of the most popular means by which these types of problems can be decomposed and solved. Our research involves developing and exploring decomposition algorithms for optimal scheduling. Our current applications involve scheduling applications in hydroelectric power generation.

MACC Publications

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