Optimization of class scheduling under demand uncertainty

   
   

A stochastic integer programming based constrained optimization technique enables optimal allocation of classrooms and instructors to requested classes associated with cancellation probabilities. An analytical tool allows optimization of overall operational revenue/profit under different planning scenarios involving chaining of various classes, prerequisite relationships, and inter-class spacing requirements. This system allows the description and input of a list of classes, their cancellation probabilities and the input of available classrooms and instructors for determining the most revenue-generating/profitable class schedule. The revenue/profit optimization model corresponds to a two-stage mixed integer program.

 
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