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Resource > Guide

What-If Analysis: The Key to Unlocking the Opportunity in Uncertainty

Nobody knows your business like you do. You have an understanding of the key drivers of your operations, an awareness of the challenges and opportunities present in your business landscape, and a clear idea of what you need to do to reach your business goals. But there’s one thing you don’t know: The future. This management paper, we explain what “What-If Analysis” is and explore how it can benefit your business.

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Event

What’s New in Gurobi 9.5

In this webinar, you will learn what’s new in 9.5 including performance improvements, new features and enhancements.

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Event

What’s New in the Gurobi Optimizer 9.1

Watch this webinar to learn about the new performance improvements and features in our latest release of the Gurobi Optimizer 9.1. You can also view this video in Chinese.

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Event

Where Data Meets Decisions:

Ever wonder how avocado pricing impacts buyers’ decisions? Or how you can discover lesser-known artists in your daily music playlists? Or how to assemble the ideal fantasy basketball team?

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Event

Why Gurobi?

Why should you make Gurobi your solver of choice? Learn more about our company and what we offer.

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Case Study

Wincor Nixdorf: Cash Management

See how Wincor Nixdorf uses Gurobi to help ensure optimal cash management around the world.

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Jupyter Model

Workforce Scheduling

In this example, you'll learn how to solve a critical, central problem in the services industry: workforce scheduling. We'll demonstrate how you can use mathematical optimization to generate an optimal workforce schedule that meets your business requirements, maximizes employee fairness and satisfaction, and minimizes the number of temporary workers your company needs to hire.

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Resource > Demo

Workforce Scheduling Demo

This Workforce Scheduling demo addresses an important problem in the services industry: How to create shift schedules that maximize resource utilization.

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Jupyter Model

Yield Management

See how mathematical optimization can make your revenues and profits soar in this example, where we'll show you how an airline can use the AI technology to devise an optimal seat pricing strategy. You'll learn how to formulate this Yield Management Problem as a three-period stochastic programming problem using the Gurobi Python API and solve it with the Gurobi Optimizer

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Resource > Blog

Your Journey to Success with Mathematical Optimization (Part I)

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Resource > Blog

Your Journey to Success with Mathematical Optimization (Part II)

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Case Study

Yutong Bus: Production Planning

Gurobi solves a challenging multi-objective production planning problem for the largest bus manufacturing company in China.

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