QBUS2310: Management Science

University of Sydney• 2025 S2
In Progress
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Optimisation
LP/IP/NLP
Python
ExcelSolver

Using optimisation modelling and analytical skills to solve real-world management problems in capacity planning, production, and resource allocation.

Learning Outcomes

  • Model selection: Choose among LP, IP, NLP, and goal-programming models according to the business context and objectives.
  • Formulation: Translate real-world problems into well-posed optimisation models—objective functions, constraints, and decision variables.
  • Model critique: Identify assumptions and limitations; propose remedies such as alternative formulations, sensitivity/what-if analysis, or robust approaches.
  • Decision making: Interpret optimisation outputs (solutions, trade-offs, sensitivities) to make sound managerial recommendations.
  • Software proficiency: Use specialised tools (Excel Solver, Python OR libraries, and/or commercial solvers) to solve and analyse management-science models.

Takeaways

Coming soon.