Lost Luggage Distribution

lost_luggage_distribution

This model is an example of a vehicle routing problem. A small company with six vans has a contract with a number of  airlines to pick up lost or delayed baggage and deliver each piece of luggage to its owner. This problem is formulated as a binary optimization problem using the Gurobi Python API and solved with the Gurobi Optimizer.

This model is example 27 from the fifth edition of Model Building in Mathematical Programming by H. Paul Williams on pages 287-289 and 343-344.

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.


 

Request a Gurobi Evaluation License or Free Academic License

Modeling examples are coded using the Gurobi Python API in Jupyter Notebook. In order to use the Jupyter Notebooks, you must have a Gurobi License. If you do not have a license, you can request an Evaluation License as a Commercial User or download a free license as an Academic User.

 

Commercial Users: Free Evaluation Version Academic Users: Free Academic Version

 


 

Access the Jupyter Notebook Modeling Example

Click on the button below to be directed to GitHub where you can download the repository for the Lost Luggage Distribution Jupyter Notebook modeling example.

 

Lost Luggage Distribution

 


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