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The rollon–rolloff waste collection vehicle routing problem with time windows

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  • Wy, Juyoung
  • Kim, Byung-In
  • Kim, Seongbae

Abstract

This study introduces a rollon–rolloff waste collection vehicle routing problem involving large containers that accumulate huge amounts of garbage at construction sites and shopping districts. In this problem, tractors move one container at a time between customer locations, a depot, disposal facilities, and container storage yards. The complicated constraints discussed in this study arise from having multiple disposal facilities, multiple container storage yards, seven service types of customer demands, different time windows for customer demands and facilities, various types and sizes of containers, and the lunch break of tractor drivers. In addition, real-world issues, such as changing service types, multiple demands at a customer’s location, and tractors with different work schedules, are dealt with. This study proposes a large neighborhood search based iterative heuristic approach consisting of several algorithms for the problem. The effectiveness of the proposed methods is demonstrated by computational experiments using benchmark data, some instances of which are derived from real-world problems.

Suggested Citation

  • Wy, Juyoung & Kim, Byung-In & Kim, Seongbae, 2013. "The rollon–rolloff waste collection vehicle routing problem with time windows," European Journal of Operational Research, Elsevier, vol. 224(3), pages 466-476.
    • Handle: RePEc:eee:ejores:v:224:y:2013:i:3:p:466-476
    DOI: 10.1016/j.ejor.2012.09.001
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    References listed on IDEAS

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    Cited by:

    1. Li, Hongqi & Chang, Xinyu & Zhao, Wencong & Lu, Yingrong, 2017. "The vehicle flow formulation and savings-based algorithm for the rollon-rolloff vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 257(3), pages 859-869.
    2. Roberto Aringhieri & Maurizio Bruglieri & Federico Malucelli & Maddalena Nonato, 2018. "A Special Vehicle Routing Problem Arising in the Optimization of Waste Disposal: A Real Case," Transportation Science, INFORMS, vol. 52(2), pages 277-299, March.
    3. Çetinsaya Özkır, Vildan & Efendigil, Tuğba & Demirel, Tufan & Çetin Demirel, Nihan & Deveci, Muhammet & Topçu, Burak, 2015. "A three-stage methodology for initiating an effective management system for electronic waste in Turkey," Resources, Conservation & Recycling, Elsevier, vol. 96(C), pages 61-70.
    4. Haoqing Wang & Wen Yi & Yannick Liu, 2022. "Optimal Route Design for Construction Waste Transportation Systems: Mathematical Models and Solution Algorithms," Mathematics, MDPI, vol. 10(22), pages 1-13, November.
    5. Neves-Moreira, F. & Amorim, P. & Guimarães, L. & Almada-Lobo, B., 2016. "A long-haul freight transportation problem: Synchronizing resources to deliver requests passing through multiple transshipment locations," European Journal of Operational Research, Elsevier, vol. 248(2), pages 487-506.
    6. Duan, Gang & Aghalari, Amin & Chen, Li & Marufuzzaman, Mohammad & Ma, Junfeng, 2021. "Vessel routing optimization for floating macro-marine debris collection in the ocean considering dynamic velocity and direction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    7. Arman Saeidi & Soroush Aghamohamadi-Bosjin & Masoud Rabbani, 2021. "An integrated model for management of hazardous waste in a smart city with a sustainable approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10093-10118, July.

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