Optimization Case Study: Defining the problem -- Part 1

This is a two-part case study where we define the optimization problem in part one, and we use the Pulp python library as a tool to solve the business problem in part two. Optimization problems are the dilemma of any business. This can come in two decision-making: either maximation and minimization, be it profit or cost. A typical optimization problem can be solved with an optimization method which in itself is mathematical. Therefore we need to represent our above component definitions mathematically.