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A model enhancement approach for optimizing the integrated shift scheduling and vehicle routing problem in waste collection

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  • De Bruecker, Philippe
  • Beliën, Jeroen
  • De Boeck, Liesje
  • De Jaeger, Simon
  • Demeulemeester, Erik

Abstract

This paper presents a model enhancement approach for the integrated problem of developing shift schedules and waste collection routes. Given a variable amount of waste to be collected the objective is to find fixed, minimal cost shift schedules and collection routes under a service level constraint. While regular shifts during traffic peak hours are cheaper in terms of labour costs, the collection speed is on average lower than during expensive, non-regular shifts. Our findings can be summarized as follows. (1) Solutions can be found within reasonable computation time for real-life instances. (2) The model enhancement approach accurately estimates the required collection times and therefore consistently finds a feasible solution. (3) The solutions not only result in considerable savings, but are also proven to be (near)optimal by comparison with a practical lower bound based on flexible routes.

Suggested Citation

  • De Bruecker, Philippe & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon & Demeulemeester, Erik, 2018. "A model enhancement approach for optimizing the integrated shift scheduling and vehicle routing problem in waste collection," European Journal of Operational Research, Elsevier, vol. 266(1), pages 278-290.
    • Handle: RePEc:eee:ejores:v:266:y:2018:i:1:p:278-290
    DOI: 10.1016/j.ejor.2017.08.059
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    References listed on IDEAS

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    1. Ernst, A. T. & Jiang, H. & Krishnamoorthy, M. & Sier, D., 2004. "Staff scheduling and rostering: A review of applications, methods and models," European Journal of Operational Research, Elsevier, vol. 153(1), pages 3-27, February.
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    5. Jeroen Beliën & Liesje De Boeck & Jonas Van Ackere, 2014. "Municipal Solid Waste Collection and Management Problems: A Literature Review," Transportation Science, INFORMS, vol. 48(1), pages 78-102, February.
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    Cited by:

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    2. Omid Hashemi-Amiri & Ran Ji & Kuo Tian, 2023. "An Integrated Location–Scheduling–Routing Framework for a Smart Municipal Solid Waste System," Sustainability, MDPI, vol. 15(10), pages 1-24, May.
    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. Abbas, Hasnain & Zhao, Lindu & Gong, Xi & Faiz, Narmeen, 2023. "The perishable products case to achieve sustainable food quality and safety goals implementing on-field sustainable supply chain model," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    5. Cui, Hailong & Sošić, Greys, 2019. "Recycling common materials: Effectiveness, optimal decisions, and coordination mechanisms," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1055-1068.
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    7. Hailin Wu & Fengming Tao & Bo Yang, 2020. "Optimization of Vehicle Routing for Waste Collection and Transportation," IJERPH, MDPI, vol. 17(14), pages 1-26, July.
    8. Robert Giel & Alicja Dąbrowska, 2021. "Estimating Time Spent at the Waste Collection Point by A Garbage Truck with A Multiple Regression Model," Sustainability, MDPI, vol. 13(8), pages 1-14, April.

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