Oil & Gas
Prepare for Optimal Impact
Strike the right balance between maximizing production and minimizing the resulting environmental impact.
Oil & Gas
Prepare for Optimal Impact
Strike the right balance between maximizing production and minimizing the resulting environmental impact.
Oil & Gas
Prepare for Optimal Impact
Strike the right balance between maximizing production and minimizing the resulting environmental impact.
Overview
Gurobi supports the complex strategic planning, supply chain management, and daily operations of chemical and petroleum manufacturers, marketers, and distributors. Optimization enables decision-makers to improve planning, scheduling, and production processes within refineries that impact day-to-day business operations and long-term asset investment strategies.
Overview
Gurobi supports the complex strategic planning, supply chain management, and daily operations of chemical and petroleum manufacturers, marketers, and distributors. Optimization enables decision-makers to improve planning, scheduling, and production processes within refineries that impact day-to-day business operations and long-term asset investment strategies.
Overview
Gurobi supports the complex strategic planning, supply chain management, and daily operations of chemical and petroleum manufacturers, marketers, and distributors. Optimization enables decision-makers to improve planning, scheduling, and production processes within refineries that impact day-to-day business operations and long-term asset investment strategies.
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.
Factory Planning
Refinery Planning
Standard Pooling
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.
Factory Planning
Refinery Planning
Standard Pooling
"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
Tata Steel: Streamlining Steel Production
Tata Steel's coal blending optimization model is projected to save the company millions of pounds in the long term.
Case Studies
Vidale Consulting Services: Mining
Vidale Consulting builds MILP mining optimization models in days, delivering optimal solutions with no prior modeling experience.
Case Studies
East Daley: Using MIP to Model Midstream Energy Assets
East Daley Capital uses MIP optimization to fill data gaps and map the interconnectivity of oil and gas infrastructure.
Additional Insights
Case Studies
Case Studies
Tata Steel: Streamlining Steel Production
Tata Steel's coal blending optimization model is projected to save the company millions of pounds in the long term.
Case Studies
Vidale Consulting Services: Mining
Vidale Consulting builds MILP mining optimization models in days, delivering optimal solutions with no prior modeling experience.
Case Studies
East Daley: Using MIP to Model Midstream Energy Assets
East Daley Capital uses MIP optimization to fill data gaps and map the interconnectivity of oil and gas infrastructure.
Additional Insights
Case Studies
Case Studies
Tata Steel: Streamlining Steel Production
Tata Steel's coal blending optimization model is projected to save the company millions of pounds in the long term.
Case Studies
Vidale Consulting Services: Mining
Vidale Consulting builds MILP mining optimization models in days, delivering optimal solutions with no prior modeling experience.
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.
