Introduction

This chapter describes the three major elements of an optimization model: the objective, decision variables, and optional constraints. It also describes other elements required for models with uncertainty, such as forecast statistics and requirements, and ends with discussions of feasibility, Efficient Frontier analysis, and using optimization with Crystal Ball’s process capability features.