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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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The Traveling Salesman Problem Demo
In this example we'll solve the Traveling Salesman Problem. We'll construct a mathematical model of the problem, implement this model in Gurobi's Python interface, and compute and visualize an optimal solution.
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Resource Matching Optimization Demo
This demo integrates machine learning and mixed integer programming technologies to address the resource matching optimization problem - providing workforce resources with the right skills and capabilities, for the right job, at the right time, location, and cost.
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Offshore Wind Farming Demo
In this example, we'll solve the problem of how to minimize the cost of laying underwater cables to collect electricity produced by an offshore wind farm.
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Facility Location Problem Demo
In this example, we’ll solve a simple facility location problem: where to build warehouses to supply a large number of supermarkets.
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Cutting Stock Problem with Multiple Master Rolls
This cutting stock problem with multiple master rolls is an example of combinatorial optimization problems that cannot be attacked with machine learning techniques due to the astronomical number of possibilities in the solution space. Also, open-source optimization solvers do not scale to real size cutting stock problems.
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Cell Tower Coverage Demo
In this example we'll solve a simple covering problem: how to build cell towers to provide signal to the largest number of people.
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