Aerospace & Defense

Optimize Your Strategic Decision-Making

Streamline operations and reduce costs, while addressing regulatory, environmental and safety concerns.

Aerospace & Defense

Optimize Your Strategic Decision-Making

Streamline operations and reduce costs, while addressing regulatory, environmental and safety concerns.

Aerospace & Defense

Optimize Your Strategic Decision-Making

Streamline operations and reduce costs, while addressing regulatory, environmental and safety concerns.

Overview


Gurobi solvers deliver critical insights that help aerospace and defense professionals make strategic decisions to reduce production costs and streamline operations while balancing logistical and budget constraints with regulatory, environmental and safety concerns. Learn how optimization is used to solve high-level problems, such as how to get key personnel to places they’re most needed for projects, how to plan for evacuations in the case of impending natural disasters or other threats, or how to design and construct planes and spacecraft to reduce weight without sacrificing strength.

Overview


Gurobi solvers deliver critical insights that help aerospace and defense professionals make strategic decisions to reduce production costs and streamline operations while balancing logistical and budget constraints with regulatory, environmental and safety concerns. Learn how optimization is used to solve high-level problems, such as how to get key personnel to places they’re most needed for projects, how to plan for evacuations in the case of impending natural disasters or other threats, or how to design and construct planes and spacecraft to reduce weight without sacrificing strength.

Overview


Gurobi solvers deliver critical insights that help aerospace and defense professionals make strategic decisions to reduce production costs and streamline operations while balancing logistical and budget constraints with regulatory, environmental and safety concerns. Learn how optimization is used to solve high-level problems, such as how to get key personnel to places they’re most needed for projects, how to plan for evacuations in the case of impending natural disasters or other threats, or how to design and construct planes and spacecraft to reduce weight without sacrificing strength.

Explore real-world problems in your industry

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

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

Efficiency Analysis

Workforce Scheduling

Explore real-world problems in your industry

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

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

Efficiency Analysis

Workforce Scheduling

Explore real-world problems in your industry

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

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

Efficiency Analysis

Workforce Scheduling

"Gurobi's advancements go beyond performance to enhance usability, appealing to both beginner and expert users."

Gurobi 13.0 Beta Tester

"We’ve been doing optimization for decades, and Gurobi is simply the fastest and most reliable solver we’ve tested. We use it on every project."

"It’s not just about getting the best answer; it’s about giving advisors and clients a plan they can understand and trust. What would take hours to do manually, we can do in minutes, with better outcomes."

"Gurobi's advancements go beyond performance to enhance usability, appealing to both beginner and expert users."

Gurobi 13.0 Beta Tester

"We’ve been doing optimization for decades, and Gurobi is simply the fastest and most reliable solver we’ve tested. We use it on every project."

"It’s not just about getting the best answer; it’s about giving advisors and clients a plan they can understand and trust. What would take hours to do manually, we can do in minutes, with better outcomes."

"Gurobi's advancements go beyond performance to enhance usability, appealing to both beginner and expert users."

Gurobi 13.0 Beta Tester

"We’ve been doing optimization for decades, and Gurobi is simply the fastest and most reliable solver we’ve tested. We use it on every project."

"It’s not just about getting the best answer; it’s about giving advisors and clients a plan they can understand and trust. What would take hours to do manually, we can do in minutes, with better outcomes."

gurobi optimizer

The Solver that Does More

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

Unmatched Performance
Continuous Innovation
Responsive, Expert Support
Feature image
Unmatched Performance

With Gurobi’s advanced algorithms, you can add complexity to your models to better represent real-world systems—and still solve them within the available time.

Significant speed-ups across all major problem types, achieving a 92x improvement in MILP performance since version 1.1
Tuned to optimize performance over a wide range of instances and applications
Rigorously tested for numerical stability and correctness using an internal library of more than 10,000 industry and academic models
Learn More

Frequently Asked Questions

What is prescriptive analytics?

Prescriptive analytics tools like mathematical optimization help you make decisions based on your real-world business goals (“objectives”) and limitations (“constraints.”) This can be especially useful when you’re facing a business problem with multiple, conflicting goals (such as cutting spending while increasing production) and multiple constraints (such as time, distance, product availability).

Learn more about prescriptive analytics in our article, “What is Prescriptive Analytics?”

What is the difference between predictive and prescriptive analytics?

What are some examples of prescriptive analytics in the real world?

How can prescriptive and predictive analytics work together?

What is the primary goal of prescriptive analytics?

What are the techniques used in prescriptive analytics?

What is prescriptive analytics also known as?

Frequently Asked Questions

What is prescriptive analytics?

Prescriptive analytics tools like mathematical optimization help you make decisions based on your real-world business goals (“objectives”) and limitations (“constraints.”) This can be especially useful when you’re facing a business problem with multiple, conflicting goals (such as cutting spending while increasing production) and multiple constraints (such as time, distance, product availability).

Learn more about prescriptive analytics in our article, “What is Prescriptive Analytics?”

What is the difference between predictive and prescriptive analytics?

What are some examples of prescriptive analytics in the real world?

How can prescriptive and predictive analytics work together?

What is the primary goal of prescriptive analytics?

What are the techniques used in prescriptive analytics?

What is prescriptive analytics also known as?

Additional Insights

Case Studies

Case Studies

Complevo: Optimal Workforce Planning

Complevo's FREI ZEIT tool eliminates scheduling chaos at bakeries, boosting staff satisfaction and planning transparency.

Case Studies

Copenhagen Airport: Gate and Stand Assignment

Copenhagen Airport maximizes aircraft stand utilization, avoiding costly expansions and improving future capacity planning.

Case Studies

Copenhagen Airports: Check-in Counter

Copenhagen Airport optimizes check-in counter assignments for 150+ airlines, handling rapid growth without adding counters.

Additional Insights

Case Studies

Case Studies

Complevo: Optimal Workforce Planning

Complevo's FREI ZEIT tool eliminates scheduling chaos at bakeries, boosting staff satisfaction and planning transparency.

Case Studies

Copenhagen Airport: Gate and Stand Assignment

Copenhagen Airport maximizes aircraft stand utilization, avoiding costly expansions and improving future capacity planning.

Additional Insights

Case Studies

Case Studies

Complevo: Optimal Workforce Planning

Complevo's FREI ZEIT tool eliminates scheduling chaos at bakeries, boosting staff satisfaction and planning transparency.

Case Studies

Copenhagen Airport: Gate and Stand Assignment

Copenhagen Airport maximizes aircraft stand utilization, avoiding costly expansions and improving future capacity planning.

Case Studies

Copenhagen Airports: Check-in Counter

Copenhagen Airport optimizes check-in counter assignments for 150+ airlines, handling rapid growth without adding counters.

Start Solving with Gurobi

Try Gurobi on your own optimization models and see how it performs on real decision problems.

Start Solving with Gurobi

Try Gurobi on your own optimization models and see how it performs on real decision problems.