Linear Programming

Linear Programming or Linear Optimization is a mathematical model used on problems with linear relationship parameters. It can be applied to various fields of study. It is widely used in mathematics, economics, and engineering problems. Industries that use linear programming models include transportation, energy, telecommunication, and manufacturing. It has proven useful in modeling diverse types of applications in planning, routing, scheduling, and assignment..

Linear Programming Pricing

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How our product works

Objective function identification.
Categorization of data
Constraints formulation
Model building & Cloud Integration.

Objective function identification.

The objective function in linear programming is the key focus of the problem stakeholder, representing the quantity to be maximized or minimized, such as profit maximization or production cost minimization. Keep in mind that linear programming is unable to handle multiple objectives, so goal programming may be a better approach in such cases.

Categorization

Once the data is processed we divide the data into two categories let’s say primary and secondary. The primary data is the one which is essential to converge to optimality. We can inject the secondary data into the model using sensitivity analysis which helps us to find how the optimality changes when we introduce additional constraints, unit change in objective function, and unit change in resources

Constraints formulation.

In linear programming, constraints play a crucial role as they represent the limitations on the available resources. Our algorithm must effectively utilize these resources to achieve optimality. We carefully extract the relevant information from the data to formulate the linear function of constraints, with respect to our objective function.

Model building & Cloud Integration.

We have developed a powerful model and seamlessly integrated it into the cloud, offering it to our customers as a Software as a Service (SaaS) platform.

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