Design and Approach to the Analysis of Data
Dennis Cox, Michael Cox · 2012
This chapter describes how a company analyses problems where there are only two variables to consider. That means that any problem for which the solution has only two dependencies for example, cost and time has been addressed. Frequently, however, in business there is often the need to consider more than just two variables. In business while making a decision there are a range of restrictions and constraints that is need to consider. In order to change the problem into something that can be solved mathematically, a practical problem can be changed into a series of linear expressions. Using equations as a framework can then locate an optimal solution by using graphical techniques. This represents that area containing all of the possible positions that are consistent with all of the constraints being met. This is known as the feasibility polygon, within which the acceptable solution must lie.