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 620-361 Operations Research Techniques and Algorithms

Note

Students may only gain credit for one of 620-361 and 618-361 (1997 Handbook).

Credit Points

12.5

Coordinator

Dr D Ralph

Prerequisites

620-261 (1997 Handbook 618-261). Also recommended are one of 620-112, 620-122, 620-200, 620-211, 620-231 (1997 Handbook 618-112, 618-122, 618-200, 618-211, 618-231); and 620-262 (1997 Handbook 618-262).

Semester

1

Contact

36 lectures (three per week)

Subject Description

Students completing this subject 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;

and appreciate

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

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

Up to 24 pages of written assignments, a group project and a three-hour end-of-semester written examination.



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