Government
Optimal Decision-Making Starts Here
Solve the world's most complex challenges, from day-to-day operations to complex policy problems.
Government
Optimal Decision-Making Starts Here
Solve the world's most complex challenges, from day-to-day operations to complex policy problems.
Government
Optimal Decision-Making Starts Here
Solve the world's most complex challenges, from day-to-day operations to complex policy problems.
Overview
With Gurobi, government agencies make decisions that influence day-to-day operations as well as complex policy problems—decisions that directly impact the lives of millions, across nearly every government department, including: education, transportation, infrastructure, healthcare, energy and power, recreation, natural disaster management, security, and business.
Overview
With Gurobi, government agencies make decisions that influence day-to-day operations as well as complex policy problems—decisions that directly impact the lives of millions, across nearly every government department, including: education, transportation, infrastructure, healthcare, energy and power, recreation, natural disaster management, security, and business.
Overview
With Gurobi, government agencies make decisions that influence day-to-day operations as well as complex policy problems—decisions that directly impact the lives of millions, across nearly every government department, including: education, transportation, infrastructure, healthcare, energy and power, recreation, natural disaster management, security, and business.
Explore real-world problems in your industry
Dive deep into sample models, built with our Python API.
Decentralization Planning
Ready for a mathematical optimization modeling challenge? Put your skills to the test with this example, where you’ll learn how to model and solve a decentralization planning problem. You’ll have to figure out – given a set of departments of a company, and potential cities where these departments can be located – the “best” location for each department in order to maximize gross margins. This model is example 10 from the fifth edition of Model Building in Mathematical Programming by H. Paul Williams on pages 265 and 317-319. This modeling example is at the advanced level, where we assume that you know Python and the Gurobi Python API and that you have advanced knowledge of building mathematical optimization models. Typically, the objective function and/or constraints of these examples are complex or require advanced features of the Gurobi Python API.
Efficiency Analysis
Constraint Optimization
Explore real-world problems in your industry
Dive deep into sample models, built with our Python API.
Decentralization Planning
Ready for a mathematical optimization modeling challenge? Put your skills to the test with this example, where you’ll learn how to model and solve a decentralization planning problem. You’ll have to figure out – given a set of departments of a company, and potential cities where these departments can be located – the “best” location for each department in order to maximize gross margins. This model is example 10 from the fifth edition of Model Building in Mathematical Programming by H. Paul Williams on pages 265 and 317-319. This modeling example is at the advanced level, where we assume that you know Python and the Gurobi Python API and that you have advanced knowledge of building mathematical optimization models. Typically, the objective function and/or constraints of these examples are complex or require advanced features of the Gurobi Python API.
Efficiency Analysis
Constraint Optimization
"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."
The Solver that Does More
Gurobi delivers blazing speeds and advanced features—backed by brilliant innovators and expert support.
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.
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
Fonterra: Creating Optimal Product Mixes for Each Day's Unique Dairy Supply
Fonterra optimizes daily product mixes to make the best use of variable milk composition, managing 30% of global dairy exports.
Case Studies
Workforce Analytics: Solving the Complex Challenges of Workforce Management
Workforce Analytics applies optimization to transform workforce rostering, boosting compliance and customer service outcomes.
Case Studies
Arute Solutions: Cash+ Keeps ATMs Optimally Stocked
Arute Solutions minimizes ATM idle cash and operating costs by optimizing visit schedules across bank networks.
Additional Insights
Case Studies
Case Studies
Fonterra: Creating Optimal Product Mixes for Each Day's Unique Dairy Supply
Fonterra optimizes daily product mixes to make the best use of variable milk composition, managing 30% of global dairy exports.
Case Studies
Workforce Analytics: Solving the Complex Challenges of Workforce Management
Workforce Analytics applies optimization to transform workforce rostering, boosting compliance and customer service outcomes.
Additional Insights
Case Studies
Case Studies
Fonterra: Creating Optimal Product Mixes for Each Day's Unique Dairy Supply
Fonterra optimizes daily product mixes to make the best use of variable milk composition, managing 30% of global dairy exports.
Case Studies
Workforce Analytics: Solving the Complex Challenges of Workforce Management
Workforce Analytics applies optimization to transform workforce rostering, boosting compliance and customer service outcomes.
Case Studies
Arute Solutions: Cash+ Keeps ATMs Optimally Stocked
Arute Solutions minimizes ATM idle cash and operating costs by optimizing visit schedules across bank networks.
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.
