Food and Beverage

Optimize Your Decision-Making

Maximize production and distribution efficiency while preparing for ever-changing consumer demand.
 

Overview

Gurobi solvers help tackle some of the most demanding scenarios where food and beverage companies must make decisions about hundreds or thousands of products in order to stay competitive. These organizations rely on optimization to help maximize production and distribution efficiency while anticipating ever-changing consumer demand to reach the right level of product variety at market-sustainable prices.

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 91x 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.
     

  • 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.

  • Economic Planning

    Economic Planning

    In this example, you’ll discover how mathematical optimization can be used to address a macroeconomic planning problem that a country may face. We’ll show you how to model and solve an input-output problem encompassing the interrelationships between the different sectors of a country’s economy. This model is example 9 from the fifth edition of Model Building in Mathematical Programming by H. Paul Williams on pages 263-264 and 316-317. This modeling example is at the intermediate level, where we assume that you know Python and are familiar with the Gurobi Python API. In addition, you should have some knowledge about building mathematical optimization models.

     Learn More
  • Factory Planning
  • Food Manufacturing
  • Supply Network Design

Frequently Asked Questions

  • How can I migrate to Gurobi from another solver?

    New customers regularly tell us that migrating was easier than they expected, and that they are happy they made the switch to Gurobi. Find out all of the details about why you should switch and how to migrate.

  • Is Gurobi a software or a service?

  • How is Gurobi different from machine learning?

  • I know how to code. Can I use Gurobi?

  • Does Gurobi help people create their mathematical models?

  • What advantage does Gurobi have over other decision models?

Additional Insight

Guidance for Your Journey

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