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Automotive

Better Decision-Making Starts Here

Maximize production efficiency, reduce production costs, and boost sales and profitability
 

Overview

Gurobi solvers power a broad range of optimization tools used by automotive manufacturers. These tools are integral to nearly every part of the automotive process: from deciding where to locate new factories in order to minimize transportation costs, to determining the optimal internal factory layout, to designing next generation prototypes that use minimal materials while meeting safety requirements. Discover how optimization is used to maximize production efficiency, reduce production costs, and boost sales and profitability.

“With this automated system powered by the Gurobi Optimizer, anyone can instantly perform these complex calculations with the simple click of a button.”

Daisuke Furutsu
Project Manager, Corporate IT Division, Toyota Motor Corporation

“With Gurobi, Toyota has been able to significantly improve the speed and quality of its decision-making. ”

Daisuke Furutsu
Project Manager, Corporate IT Division, Toyota Motor Corporation

“With this automated system powered by the Gurobi Optimizer, anyone can instantly perform these complex calculations with the simple click of a button.”

Daisuke Furutsu
Project Manager, Corporate IT Division, Toyota Motor Corporation

“With Gurobi, Toyota has been able to significantly improve the speed and quality of its decision-making. ”

Daisuke Furutsu
Project Manager, Corporate IT Division, Toyota Motor Corporation

The Solver That Does More

Gurobi delivers blazing speeds and advanced features—backed by brilliant innovators and expert support.

  • Gurobi Optimizer Delivers Unmatched Performance

    Unmatched Performance

    With our powerful algorithms, you can add complexity to your model to better represent the real world, and still solve your model within the available time.

    • The performance gap grows as model size and difficulty increase.
    • Gurobi has a history of making continual improvements across a range of problem types, with a more than 75x speedup on MILP since version 1.1.
    • Gurobi is tuned to optimize performance over a wide range of instances.
    • Gurobi is tested thoroughly for numerical stability and correctness using an internal library of over 10,000 models from industry and academia.
     

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  • Gurobi Optimizer Delivers Continuous Innovation
  • Gurobi Optimizer Delivers Responsive, Expert Support

Peek Under the Hood

Dive deep into sample models, built with our Python API.

  • Efficiency Analysis

    Efficiency Analysis

    How can mathematical optimization be used to measure the efficiency of an organization? Find out in this example, where you’ll learn how to formulate an Efficiency Analysis model as a linear programming problem using the Gurobi Python API and then generate an optimal solution with the Gurobi Optimizer. This model is example 22 from the fifth edition of Model Building in Mathematical Programming by H. Paul Williams on pages 278-280 and 335-336. This example is at the intermediate level, where we assume that you know Python and the Gurobi Python API and that you have some knowledge of building mathematical optimization models.

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  • Factory Planning
  • Economic Planning

Frequently Asked Questions

  • What is mathematical optimization?

    Mathematical optimization uses the power of math to find the best possible solution to a complex, real-life problem. You input the details of your problem—the goals you want to achieve, the limitations you’re facing, and the variables you control—and the mathematical optimization solver will calculate your optimal set of decisions.

  • What’s a real-world example of mathematical optimization?

  • What makes mathematical optimization “unbiased”?

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