VIDEO DESCRIPTION:

Play, download and edit the free video Resource Management Optimization Demo.

This demo considers the problem of identifying labor resources that “best” match the requirements
of specific jobs. There are two aspects that make this problem difficult:

1. How to quantify the concept of a “good“ match?
2. How to explore an astronomically large solution space to identify the best assignment of resources to jobs?

The main components of the solution approach used in this demo are:

■ A Machine Learning (ML) model that estimates how well a resource profile (resume) matches job requirements. Specifically, the ML model computes a matching score for all resource and job combinations that estimates the quality of the match.
■ A Mixed Integer Programming (MIP) model that tackles the combinatorial
complexity of the problem, producing optimal or near-optimal assignments.

To access the cutting stock demo you will need:

• To first register at the Gurobi website: gurobi.com
• Then login to the Gurobi website
• Go to demos.gurobi.com/rmo

Presented by: Pano Santos, Sr. Technical Content Manager at Gurobi.

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