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Optimization of Municipal Waste Collection Routing: Impact of Industry 4.0 Technologies on Environmental Awareness and Sustainability

Author

Listed:
  • Tamás Bányai

    (Institute of Logistics, University of Miskolc, 3515 Miskolc, Hungary)

  • Péter Tamás

    (Institute of Logistics, University of Miskolc, 3515 Miskolc, Hungary)

  • Béla Illés

    (Institute of Logistics, University of Miskolc, 3515 Miskolc, Hungary)

  • Živilė Stankevičiūtė

    (School of Economics and Business, Kaunas University of Technology, 44249 Kaunas, Lithuania)

  • Ágota Bányai

    (Institute of Logistics, University of Miskolc, 3515 Miskolc, Hungary)

Abstract

The accelerated movement of people towards cities led to the fact that the world’s urban population is now growing by 60-million persons per year. The increased number of cities’ population has a significant impact on the produced volume of household waste, which must be collected and recycled in time. The collection of household waste, especially in downtown areas, has a wide range of challenges; the collection system must be reliable, flexible, cost efficient, and green. Within the frame of this paper, the authors describe the application possibilities of Industry 4.0 technologies in waste collection solutions and the optimization potential in their processes. After a systematic literature review, this paper introduces the waste collection process of downtowns as a cyber-physical system. A mathematical model of this waste collection process is described, which incorporates routing, assignment, and scheduling problems. The objectives of the model are the followings: (1) optimal assignment of waste sources to garbage trucks; (2) scheduling of the waste collection through routing of each garbage truck to minimize the total operation cost, increase reliability while comprehensive environmental indicators that have great impact on public health are to be taken into consideration. Next, a binary bat algorithm is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and then evaluates its performance to increase the cost-efficiency and warrant environmental awareness of waste collection process.

Suggested Citation

  • Tamás Bányai & Péter Tamás & Béla Illés & Živilė Stankevičiūtė & Ágota Bányai, 2019. "Optimization of Municipal Waste Collection Routing: Impact of Industry 4.0 Technologies on Environmental Awareness and Sustainability," IJERPH, MDPI, vol. 16(4), pages 1-26, February.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:4:p:634-:d:207887
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    References listed on IDEAS

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    1. Pati, Rupesh Kumar & Vrat, Prem & Kumar, Pradeep, 2006. "Economic analysis of paper recycling vis-a-vis wood as raw material," International Journal of Production Economics, Elsevier, vol. 103(2), pages 489-508, October.
    2. Barba-Gutiérrez, Y. & Adenso-Díaz, B. & Hopp, M., 2008. "An analysis of some environmental consequences of European electrical and electronic waste regulation," Resources, Conservation & Recycling, Elsevier, vol. 52(3), pages 481-495.
    3. Diego Cattaruzza & Nabil Absi & Dominique Feillet, 2016. "Vehicle routing problems with multiple trips," 4OR, Springer, vol. 14(3), pages 223-259, September.
    4. Pati, Rupesh Kumar & Vrat, Prem & Kumar, Pradeep, 2008. "A goal programming model for paper recycling system," Omega, Elsevier, vol. 36(3), pages 405-417, June.
    5. Diego Cattaruzza & Nabil Absi & Dominique Feillet, 2016. "The Multi-Trip Vehicle Routing Problem with Time Windows and Release Dates," Transportation Science, INFORMS, vol. 50(2), pages 676-693, May.
    6. Liliane Dolores Fagundes & Edvaldo Santos Amorim & Renato Lima, 2017. "Action Research in Reverse Logistics for End-Of-Life Tire Recycling," Systemic Practice and Action Research, Springer, vol. 30(5), pages 553-568, October.
    7. Bonney, M. C., 1994. "Trends in inventory management," International Journal of Production Economics, Elsevier, vol. 35(1-3), pages 107-114, June.
    8. Achillas, Ch. & Aidonis, D. & Vlachokostas, Ch. & Moussiopoulos, N. & Banias, G. & Triantafillou, D., 2012. "A multi-objective decision-making model to select waste electrical and electronic equipment transportation media," Resources, Conservation & Recycling, Elsevier, vol. 66(C), pages 76-84.
    9. Zacharias, John & Zhang, Bingjie, 2015. "Local distribution and collection for environmental and social sustainability – tricycles in central Beijing," Journal of Transport Geography, Elsevier, vol. 49(C), pages 9-15.
    10. J Mar-Ortiz & B Adenso-Diaz & J L González-Velarde, 2011. "Design of a recovery network for WEEE collection: the case of Galicia, Spain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(8), pages 1471-1484, August.
    11. Brennan, Liam & Owende, Philip, 2010. "Biofuels from microalgae--A review of technologies for production, processing, and extractions of biofuels and co-products," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 557-577, February.
    12. Bautista, Joaquín & Pereira, Jordi, 2006. "Modeling the problem of locating collection areas for urban waste management. An application to the metropolitan area of Barcelona," Omega, Elsevier, vol. 34(6), pages 617-629, December.
    13. Kilic, Huseyin Selcuk & Cebeci, Ufuk & Ayhan, Mustafa Batuhan, 2015. "Reverse logistics system design for the waste of electrical and electronic equipment (WEEE) in Turkey," Resources, Conservation & Recycling, Elsevier, vol. 95(C), pages 120-132.
    14. Vera C. Hemmelmayr & Karl F. Doerner & Richard F. Hartl & Daniele Vigo, 2014. "Models and Algorithms for the Integrated Planning of Bin Allocation and Vehicle Routing in Solid Waste Management," Transportation Science, INFORMS, vol. 48(1), pages 103-120, February.
    15. Barker, Theresa J. & Zabinsky, Zelda B., 2011. "A multicriteria decision making model for reverse logistics using analytical hierarchy process," Omega, Elsevier, vol. 39(5), pages 558-573, October.
    16. V. Daniel R. Guide & Vaidyanathan Jayaraman & Rajesh Srivastava & W. C. Benton, 2000. "Supply-Chain Management for Recoverable Manufacturing Systems," Interfaces, INFORMS, vol. 30(3), pages 125-142, June.
    17. Mauro Dell’Amico & Giovanni Righini & Matteo Salani, 2006. "A Branch-and-Price Approach to the Vehicle Routing Problem with Simultaneous Distribution and Collection," Transportation Science, INFORMS, vol. 40(2), pages 235-247, May.
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