Proceedings IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management


ICIEOM2020_FULL_0002_37426

STRATEGY FOR SOLID WASTE COLLECTION OPTIMIZED WITH MATHEMATICAL MODELLING


ÁREA: 02. Logistics and Supply Chain Management

RESUMO:
With the environmental problem gradually aggravating, the correct management of solid waste collection has become relevant within the tasks of the government entities that provide this public service in Peru. However, there are still no improvements given that approximately 30% of garbage is not collected from the streets and more than 50% is not transferred to a landfill. One of the reasons is that the volume of solid waste generated in Peru has increased in the last decade by approximately 38%; nevertheless, another obvious cause is that around 75% of these do not yet have route plans for garbage collection. In a first stage, a clustering model was made based on the composition of the garbage and the volume generated. Then, routing plans were generated for the collection of solid waste using a mathematical optimization model that minimizes the use of resources. For the development of the model, a variant of the Vehicle Routing Problem (VRP) with time windows (VRPTW) was applied, which had as inputs the garbage collection points, which makes up each housing in the sector, and the location of the landfills as final destinations. It is important to consider that the model will be carried out for a particular sector, which is the watering place in the department of La Libertad; however, it is possible to apply to another sector.

PALAVRAS-CHAVE:
solid waste collection, route modelling, vehicle routing problem time windows, public services, clustering



DOI: 10.14488/ijcieom2020_full_0002_37426
AUTORES:

JONATÁN EDWARD ROJAS POLO
PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ

ANDREA CABALLERO CASTITLLO
PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ

ALEXIA CÁCERES CANSAYA
PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ

DIANA ROJAS POLO
INCOAB

KAREN ROJAS POLO
INCOAB






ISSN ENEGEP: 23183349 / ISSN ICIEOM: 23178000


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