Linear Programming for Optimal Scheduling by Using Gurobipy
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Linear Programming for Optimal Scheduling.ipynb

Linear Programming for Optimal Scheduling

You may view the write up in PDF form Linear_Programming_for_Optimal_Scheduling.pdf or the jupyter notebook here

In the given case study for operations research, we need to produce a schedule that meets the following constraints

  • The schedule does not violate the volunteer's availability
  • The schedule meets the conference requirements for staffing

By using Gurobipy, a python optimization package, we were able to model this problem as a Linear Programming (LP) problem, and hence produced an optimal solution through the simplex method.