Optimal Movie Schedule and Prediction

With a global revenue of over 40 billion US dollars and predicted astronomic growth, the movie industry remains a viable economic sector. It becomes imperative for media professionals to come up with more proficient ways of scheduling movies, and predicting performance of movies, so as to maximize their earning capacity. In this article, the movie scheduling and prediction problem is both an optimization and data analytic problem. The optimization part of the problem is abstracted as a binary integer programming (BIP) problem, and the BIP model is solved using gurobi in MATLAB. While there is a reasonable exploration as to the data analytical solution to the predictiove part of the problem