Automotive
Better Decision-Making Starts Here
Maximize production efficiency, reduce production costs, and boost sales and profitability.
Automotive
Better Decision-Making Starts Here
Maximize production efficiency, reduce production costs, and boost sales and profitability.
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.
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.
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.
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
Efficiency Analysis
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
Efficiency Analysis
"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
Audi: Solving Complex Logistics Challenges in Seconds
Audi solves complex automotive logistics problems in seconds, offering customers an optimization button inside familiar tools.
Case Studies
Toyota: Production Planning Optimization
Toyota uses optimization to generate compliant, profitable production plans daily, balancing environmental regulations globally.
Case Studies
Yutong Bus: Production Planning
Yutong Bus optimally allocates 170+ daily bus orders across 10 production lines, handling 100 models simultaneously.
Additional Insights
Case Studies
Case Studies
Audi: Solving Complex Logistics Challenges in Seconds
Audi solves complex automotive logistics problems in seconds, offering customers an optimization button inside familiar tools.
Case Studies
Toyota: Production Planning Optimization
Toyota uses optimization to generate compliant, profitable production plans daily, balancing environmental regulations globally.
Additional Insights
Case Studies
Case Studies
Audi: Solving Complex Logistics Challenges in Seconds
Audi solves complex automotive logistics problems in seconds, offering customers an optimization button inside familiar tools.
Case Studies
Toyota: Production Planning Optimization
Toyota uses optimization to generate compliant, profitable production plans daily, balancing environmental regulations globally.
Case Studies
Yutong Bus: Production Planning
Yutong Bus optimally allocates 170+ daily bus orders across 10 production lines, handling 100 models simultaneously.
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.
