ABSTRACT
Chapter 6 covers forecasting with mathematical programming (linear and machine learning) to solve problems in support of decision making. We start with defining the mathematical programming methods and illustrate various techniques to include regression (linear and non-linear) exponential smoothing models and auto-regressive integrated moving average (ARIMA). Technology is used to solve the formulated problems. This chapter also sets the foundation for future chapters covering linear programming and queuing models.
