618-361 Operations Research Techniques and Algorithms

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Objectives:

On completion of this subject, students should:

Comprehend:

• basic techniques of operations research, including nonlinear and parametric optimisation, decision-tree, network and inventory models;

• formulation of operations research models and algorithms for production planning, scheduling, inventory management and capital budgeting.

Have developed:

• skills in setting up and analysing operations research models for a number of planning problems;

• competence in the use of computer packages for the solution of operations research problems.

Appreciate:

• the factors and restrictions involved in building and using models for planning and management problems.

Content:

Selected topics from: operations research models; formulation of planning and management problems, including linear programming models, scheduling models, inventory management, and capital budgeting; linear and nonlinear techniques, decision tree models, parametric optimisation, simulation; use of computer packages and Internet resources. Case studies and projects.

Assessment: