Maintaining public green spaces is vital for health, safety, and hygiene, especially when the green areas are neglected and are not in optimal conditions. An efficient schedule of fleets for the maintenance of green areas is necessary to maintain a healthy environment. This paper presents the analysis of a mixed-integer linear optimization model for optimal maintenance scheduling, which takes into account factors such as weed growth and sequencing. A comparison between traditional methods and the proposed model is made, measuring the use of resources. Lastly, a case study of a specific area in Monterrey, Nuevo León, Mexico is presented to demonstrate the benefits of a proper maintenance schedule.
An Optimization Model for the Maintenance Programming of Urban Green Areas
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