Operations Research / Linear Programming Solver-linear optimization tool

Example

Maximizing profits for a manufacturing plant by determining the optimal production levels of different products within capacity constraints.

Scenario

A company wants to decide the quantity of two products to produce to maximize profit. Using the Simplex method, the solver finds the best combination of product quantities that maximize profit while not exceeding resource limits.

Example

Deciding the number and types of products to produce where the products must be produced in whole numbers.

Scenario

A company needs to decide how many units of several products to manufacture, requiring integer solutions for practical implementation, like in the case of assembling cars where partial units are not feasible.

Example

Optimizing the flow through a network to determine the most efficient routes or maximum flow from one point to another.

Scenario

A logistics company uses network flow models to optimize the delivery routes across its network, ensuring that goods are transported from warehouses to clients using the shortest routes or under cost constraints.

Example

Balancing multiple conflicting objectives such as maximizing profit while minimizing environmental impact.

Scenario

A company uses goal programming to manage its production schedule to maximize profit and minimize energy usage, setting specific goals for each objective and determining the best compromise solution.