Quantitative Analysis delivered a highly practical set of skills for modeling and analyzing real life business scenarios. Proficiencies were achieved in creating spreadsheet models and optimizing results using tools such as Excel's Solver. 


The course consisted of four parts:

Optimization: the formulation and solution of linear and non-linear programming problems involving linear/non-linear objective functions and constraints.

Simulation: The stochastic modeling of random events to replicate real world events and examine the results of various decision strategies.

Project Management: the design and coordination of activities within a project so that the project is completed efficiently and on time.

Inventory Management: the ordering policies for an inventory system under different assumptions of demand and supply. The inventory models include

  • Economic Order Quantity (EOQ)

  • Economic Production Quantity (EPQ)

  • Materials Requirements Planning (MRP)

  • Just-In-Time (JIT)

  • Stochastic demand models.



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