Execution time as a key parameter in the waste collection problem

• Type: Article in International Conference Proceedings Book
• Date: 2023

Authors

Silva, S (Author) Other; Pereira, I (Author) Other; Lima, J (Author) Other; Silva, Adrian (Author) FEUP; Gomes, T (Author) Other

Conference proceedings International

Title: Iberian Conference on Information Systems and Technologies, CISTI

18th Iberian Conference on Information Systems and Technologies, CISTI 2023

Aveiro, 20 June 2023 through 23 June 2023

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00Z-1DW

DOI: 10.23919/cisti58278.2023.10211886

Abstract (EN): Proper waste management has been recognized as a tool for the green transition towards a more sustainable economy. For instance, most studies dealing with municipal solid wastes in the literature focus on environmental aspects, proposing new routes for recycling, composting and landfilling. However, there are other aspects to be improved in the systems that deal with municipal solid waste, especially in the transportation sector. Scholars have been exploring alternatives to improve the performance in waste collection tasks since the late 50s, for example, considering the waste collection problem as static. The transition from a static approach to a dynamic is necessary to increase the feasibility of the solution, requiring faster algorithms. Here we explore the improvement in the performance of the guided local search metaheuristic available in OR-Tools upon different execution times lower than 10 seconds to solve the capacitated waste collection problem. We show that increasing the execution time from 1 to 10 seconds can overcome savings of up to 1.5 km in the proposed system. Considering application in dynamic scenarios, the 9 s increase in execution time (from 1 to 10 s) would not hinder the algorithm's feasibility. Additionally, the assessment of the relation between performance in different execution times with the dataset's tightness revealed a correlation to be explored in more detail in future studies. The work done here is the first step towards a shift of paradigm from static scenarios in waste collection to dynamic route planning, with the execution time established according to the conclusions achieved in this study. © 2023 ITMA.

Language: English

Type (Professor's evaluation): Scientific