Quantitative Planning Methods (AGEC5405)


The unit examines the use of mathematical methods and models in planning at both the individual firm level and the sector level. While the principal focus is on formal optimization, simulation and Monte Carlo methods are also discussed. Topics include non-linear programming, stochastic programming, elements of input-output analysis, computable general equilibrium analysis, dynamic problems and methods (e.g. dynamic programming and optimal control). Sectoral level planning applications considered include transportation and plant location studies; spatial equilibrium; and resource utilization across time. Firm level applications may include multi-period planning, queuing problems, inventory analysis, and replacement problems. Extensive use is made of computer-based optimization.

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(2x1hr lec & 1x2 tut/lab session)/week, commencing week 1


1x2hr exam (70%) and 2 assignments (better done one [18%], other [12%])

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