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Vehicle routing–scheduling for municipal waste collection system under the “Keep Trash off the Ground” policy

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  • Huang, Shan-Huen
  • Lin, Pei-Chun

Abstract

This paper investigates the waste collection problem and characterizes the problem as a set-covering and vehicle routing problem (VRP) complicated by inter-arrival time constraints. The study proposes a bi-level optimization formulation to model the split delivery VRP with multiple trips to determine the minimum-distance route. The first stage optimally plans the collection points that cover all residential blocks. The second stage applies a heuristics method to solve the minimum vehicles used and minimum distance traveled for collecting residential waste. This research contributes to model this period VRP and to introduce the heuristics method to solve the problem efficiently. The study is important in laying the groundwork for understanding the possibility of improving the service level of municipal solid waste collection.

Suggested Citation

  • Huang, Shan-Huen & Lin, Pei-Chun, 2015. "Vehicle routing–scheduling for municipal waste collection system under the “Keep Trash off the Ground” policy," Omega, Elsevier, vol. 55(C), pages 24-37.
    • Handle: RePEc:eee:jomega:v:55:y:2015:i:c:p:24-37
    DOI: 10.1016/j.omega.2015.02.004
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    Cited by:

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    2. Hina, Syeda Mahlaqa & Szmerekovsky, Joseph & Lee, EunSu & Amin, Muhammad & Arooj, Syeda, 2020. "Effective municipal solid waste collection using geospatial information systems for transportation: A case study of two metropolitan cities in Pakistan," Research in Transportation Economics, Elsevier, vol. 84(C).
    3. Gambella, Claudio & Maggioni, Francesca & Vigo, Daniele, 2019. "A stochastic programming model for a tactical solid waste management problem," European Journal of Operational Research, Elsevier, vol. 273(2), pages 684-694.
    4. Ali Ebadi Torkayesh & Hadi Rezaei Vandchali & Erfan Babaee Tirkolaee, 2021. "Multi-Objective Optimization for Healthcare Waste Management Network Design with Sustainability Perspective," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    5. Ke, Liangjun & Zhai, Laipeng & Li, Jing & Chan, Felix T.S., 2016. "Pareto mimic algorithm: An approach to the team orienteering problem," Omega, Elsevier, vol. 61(C), pages 155-166.

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