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Vehicle routing problem applied for demand controlled waste collection

Cammermeyer, Anett; Lunde, Katrine
Master thesis
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URI
http://hdl.handle.net/11250/295362
Date
2015-08-07
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  • Master of Science [1530]
Abstract
The main purpose of this thesis is to look into the possible improvements by

switching from fixed to demand controlled routes.

In cooperation with Renovasjonsetaten (REN) and Sørum Transport we have

looked into the collection process of glass and metal waste in the Oslo area. We

have studied if there is a possible improvement in the concern of total driving

distance and service level by switching from static to dynamic collection routes by

investing in sensors in the containers.

We have based our methodology around management science and operations

research. The developed models are based on the theory around Vehicle Routing

Problem, and solution procedures as the Nearest Neighbor Algorithm and Clarke

and Wright´s Savings Algorithm. Simulation for a whole year has been performed

in order to compare the two different methods.

The results show that there are possibilities to improve the collection of glass and

metal waste by eliminating the driving to both empty and half full waste

containers, and prioritizing the containers that are filled above 80% of their

capacity. The results also show that by installing sensors it becomes easier to

utilize the waste containers more and save time in the collection process.

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