In the demo tab we illustrate how Dantzig’s model can be used to generate optimal/near-optimal workforce tour schedules for a call center. The series of demos include

  1. Erlang C Calculator
  2. Scheduling using NEOS public solver
  3. Scheduling using COIN-OR Branch and Cut (CBC) solver
  4. Monte-Carlo stochastic simulation of schedule service level and wait time for the schedules generated using NEOS and Cbc solvers
  5. SIPP Comnsation – Adjusting the requirement in Dantzig’s model to minimize roller coaster effect of schedule service level
  6. Our methodology to adjust the requirement in Dantzig’s model using Monte-Carlo stochastic simulation
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