Food & Beverage
Optimize Your Decision-Making
Maximize production and distribution efficiency while preparing for ever-changing consumer demand.
Food & Beverage
Optimize Your Decision-Making
Maximize production and distribution efficiency while preparing for ever-changing consumer demand.
Food & 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.
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.
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.
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.
Factory Planning
Food Manufacturing
Supply Network Design
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.
Factory Planning
Food Manufacturing
Supply Network Design
"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
Cosentino: Optimizing Sales Routes and Production Lines for Enhanced Efficiency
Cosentino uses optimization to plan commercial visit routes and manage production lines, maximizing efficiency across operations.
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
Yverdon-les-Bains: An Eco-Friendly Swiss Haven
Yverdon-les-Bains uses optimization to design a net-zero energy neighborhood for 3,800 residents by 2050.
Additional Insights
Case Studies
Case Studies
Cosentino: Optimizing Sales Routes and Production Lines for Enhanced Efficiency
Cosentino uses optimization to plan commercial visit routes and manage production lines, maximizing efficiency across operations.
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.
Additional Insights
Case Studies
Case Studies
Cosentino: Optimizing Sales Routes and Production Lines for Enhanced Efficiency
Cosentino uses optimization to plan commercial visit routes and manage production lines, maximizing efficiency across operations.
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
Yverdon-les-Bains: An Eco-Friendly Swiss Haven
Yverdon-les-Bains uses optimization to design a net-zero energy neighborhood for 3,800 residents by 2050.
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.
