Linear Programming

Linear programming is a special case of mathematical programming used to achieve the best outcome in a mathematical model whose requirements are represented by linear relationships. It is an applicable technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints. An objective function defines the quantity to be optimized, and the goal of linear programming is to find the values of the variables that maximize or minimize the objective function.

To design the best solution to a problem, engineers frequently aim to maximize the quantity of a particular design element (such as a material) or minimize a quantity (such as cost). To do this, we design within a set of constraints that are sometimes given by the client and other times simply the limitations of the amounts and types of available resources. During the engineering design process, it can be helpful to predict the expected outcomes of different approaches before creating and testing prototypes. PetroPlat’s Linear programming service is applicable in the energy industry (energy grid), efficient manufacturing, engineering studies, etc.