Healthcare
Real-World Optimization Impact
Resolve patient healthcare issues faster, while improving resource utilization and employee satisfaction, and reducing operating costs.
Healthcare
Real-World Optimization Impact
Resolve patient healthcare issues faster, while improving resource utilization and employee satisfaction, and reducing operating costs.
Healthcare
Real-World Optimization Impact
Resolve patient healthcare issues faster, while improving resource utilization and employee satisfaction, and reducing operating costs.
Overview
With mathematical optimization technologies, healthcare providers can ensure the timely resolution of healthcare issues for patients, improve resource utilization and employee satisfaction, and reduce operating costs—to safeguard the health of society as well as the sustainability of the healthcare system.
Overview
With mathematical optimization technologies, healthcare providers can ensure the timely resolution of healthcare issues for patients, improve resource utilization and employee satisfaction, and reduce operating costs—to safeguard the health of society as well as the sustainability of the healthcare system.
Overview
With mathematical optimization technologies, healthcare providers can ensure the timely resolution of healthcare issues for patients, improve resource utilization and employee satisfaction, and reduce operating costs—to safeguard the health of society as well as the sustainability of the healthcare system.
Explore real-world problems in your industry
Dive deep into sample models, built with our Python API.
COVID-19 Facility Capacity
This COVID-19 Healthcare Facility Capacity Optimization problem shows you how to determine the optimal location and capacity of healthcare facilities in order to:
Satisfy demand from COVID-19 patients for treatment,
Minimize the cost of opening temporary facilities for healthcare providers, and
Predict the allocation of COVID-19 patients from a specific county to a specific healthcare facility.
This modeling example is at the beginner level, where we assume that you know Python and that you have some knowledge of how to build mathematical optimization models.
Customer Assignment
Efficiency Analysis
Explore real-world problems in your industry
Dive deep into sample models, built with our Python API.
COVID-19 Facility Capacity
This COVID-19 Healthcare Facility Capacity Optimization problem shows you how to determine the optimal location and capacity of healthcare facilities in order to:
Satisfy demand from COVID-19 patients for treatment,
Minimize the cost of opening temporary facilities for healthcare providers, and
Predict the allocation of COVID-19 patients from a specific county to a specific healthcare facility.
This modeling example is at the beginner level, where we assume that you know Python and that you have some knowledge of how to build mathematical optimization models.
Customer Assignment
Efficiency Analysis
Explore real-world problems in your industry
Dive deep into sample models, built with our Python API.
COVID-19 Facility Capacity
This COVID-19 Healthcare Facility Capacity Optimization problem shows you how to determine the optimal location and capacity of healthcare facilities in order to:
Satisfy demand from COVID-19 patients for treatment,
Minimize the cost of opening temporary facilities for healthcare providers, and
Predict the allocation of COVID-19 patients from a specific county to a specific healthcare facility.
This modeling example is at the beginner level, where we assume that you know Python and that you have some knowledge of how to build mathematical optimization models.
Customer Assignment
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
Light Up the World: Bringing Clean Energy and Internet Access to Remote Communities
Light Up the World uses optimization to design off-grid solar systems for remote Peruvian communities with no room for error.
Case Studies
PATH: Delivering Critical Health Services Where They're Needed Most
PATH uses optimization to route life-saving medical oxygen equipment to the communities that need it most around the world.
Case Studies
Complevo: Optimal Workforce Planning
Complevo's FREI ZEIT tool eliminates scheduling chaos at bakeries, boosting staff satisfaction and planning transparency.
Additional Insights
Case Studies
Case Studies
Light Up the World: Bringing Clean Energy and Internet Access to Remote Communities
Light Up the World uses optimization to design off-grid solar systems for remote Peruvian communities with no room for error.
Case Studies
PATH: Delivering Critical Health Services Where They're Needed Most
PATH uses optimization to route life-saving medical oxygen equipment to the communities that need it most around the world.
Additional Insights
Case Studies
Case Studies
Light Up the World: Bringing Clean Energy and Internet Access to Remote Communities
Light Up the World uses optimization to design off-grid solar systems for remote Peruvian communities with no room for error.
Case Studies
PATH: Delivering Critical Health Services Where They're Needed Most
PATH uses optimization to route life-saving medical oxygen equipment to the communities that need it most around the world.
Case Studies
Complevo: Optimal Workforce Planning
Complevo's FREI ZEIT tool eliminates scheduling chaos at bakeries, boosting staff satisfaction and planning transparency.
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.
