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Author
Gallardo Puig, Ariadna
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Abstract
Barcelona is the capital of Catalonia with more than 1.6 million inhabitants and welcomes millions of tourists every year. One of the fundamental services to keep the city clean is the collection of urban solid waste. The city of Barcelona has a service for the daily collection of household and commercial garbage to make it easier for citizens to collect waste and guarantee the cleanliness and health of public space.
The Final Master's Thesis presented below is an analysis and proposal for improvement in the Urban Solid Collection Service of the Eixample District of Barcelona. This project focuses on responding to a need for innovation in the Citizen Services sector. Using the Anylogic® simulation software, an optimization of both the material and human resources necessary in the daily collection service of the rest of the Eixample District in Barcelona is carried out.
The use of new technologies allows us to advance and improve to reduce the impact of previous collection and waste collection both economically and environmentally.
Decisions made about waste collection management can reduce greenhouse gas emissions. With the optimization of the collection routes, the number of trucks operating will be reduced. If, in addition, the collection fleet is equipped with vehicles that do not use fossil fuels as an energy source, the positive impact is even greater.
This work describes a model to optimize and simulate the solid waste collection route of the Eixample District in Barcelona. A simulation is carried out that allows choosing the optimal number of vehicles necessary for the service, the number of personnel required, as well as carrying out an analysis that helps decision-making regarding the dimensioning of the routes and the different optimization possibilities. of this. The objective of this project is to achieve more efficient routes, faster and with the least possible resources through a simulation model that is fully exportable to any city and part of the world thanks to the ease of updating the simulation data and with the possibility improvement model. It is possible to add more parameters and conditions to the system to be able to adapt to the needs at all times and continue to comply in order to guarantee the health and cleanliness of all cities.
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