Home Specialist skills Data and Analytics Foundations of Operational Research (OR): Optimisation and (Meta–) Heuristics
Foundations of Operational Research (OR): Optimisation and (Meta–) Heuristics
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Understand the main principles of optimisation and linear programming
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Understand different types of decision situations in which linear programming and other optimisation techniques can be applied
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Obtain practical experience in the formulation of linear programming models and their solution using Excel Solver
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Appreciate the advantages and limitations of optimisation methodologies and the extent to which they can contribute to practical decision making
Overview
Off the shelf (OTS)
Many complex real-life decision problems involve some form of optimisation of the use of resources, production profiles, services, schedules, investment decisions and so on. Depending on the task, different optimisation approaches have been developed in the field of OR to address these needs.
This course looks primarily into linear programming, which is the most commonly used optimisation methodology. We also briefly discuss several other optimisation techniques. The focus of this session is on the modelling side of linear programming and the practical solution that linear programming models provide.
Delivery method
Virtual
Course duration
8 hours
Competency level
Foundation
Delivery method
-
Virtual
Course duration
8 hours
Competency level
-
Foundation