IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i14p4963-d382538.html
   My bibliography  Save this article

Optimization of Vehicle Routing for Waste Collection and Transportation

Author

Listed:
  • Hailin Wu

    (College of Mechanical Engineering, Chongqing University, Chongqing 400044, China)

  • Fengming Tao

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China)

  • Bo Yang

    (College of Management, Chongqing Radio and Television University, Chongqing 400044, China)

Abstract

For the sake of solving the optimization problem of urban waste collection and transportation in China, a priority considered green vehicle routing problem (PCGVRP) model in a waste management system is constructed in this paper, and specific algorithms are designed to solve the model. We pay particular concern to the possibility of immediate waste collection services for high-priority waste bins, e.g., those containing hospital or medical waste, because the harmful waste needs to be collected immediately. Otherwise, these may cause dangerous or negative effects. From the perspective of environmental protection, the proposed PCGVRP model considers both greenhouse gas (GHG) emission costs and conventional waste management costs. Waste filling level (WFL) is considered with the deployment of sensors on waste bins to realize dynamic routes instead of fixed routes, so that the economy and efficiency of waste collection and transportation can be improved. The optimal solution is obtained by a local search hybrid algorithm (LSHA), that is, the initial optimal solution is obtained by particle swarm optimization (PSO) and then a local search is performed on the initial optimal solution, which will be optimized by a simulated annealing (SA) algorithm by virtue of the global search capability. Several instances are selected from the database of capacitated vehicle routing problem (CVRP) so as to test and verify the effectiveness of the proposed LSHA algorithm. In addition, to obtain credible results and conclusions, a case using data about waste collection and transportation is employed to verify the PCGVRP model, and the effectiveness and practicability of the model was tested by setting a series of values of bins’ number with high priority and WFLs. The results show that (1) the proposed model can achieve a 42.3% reduction of negative effect compared with the traditional one; (2) a certain value of WFL between 60% and 80% can realize high efficiency of the waste collection and transportation; and (3) the best specific value of WFL is determined by the number of waste bins with high priority. Finally, some constructive propositions are put forward for the Environmental Protection Administration and waste management institutions based on these conclusions.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:4963-:d:382538
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/14/4963/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/14/4963/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kirschstein, Thomas & Meisel, Frank, 2015. "GHG-emission models for assessing the eco-friendliness of road and rail freight transports," Transportation Research Part B: Methodological, Elsevier, vol. 73(C), pages 13-33.
    2. Nnorom, I.C. & Osibanjo, O., 2008. "Overview of electronic waste (e-waste) management practices and legislations, and their poor applications in the developing countries," Resources, Conservation & Recycling, Elsevier, vol. 52(6), pages 843-858.
    3. Marius M. Solomon, 1987. "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints," Operations Research, INFORMS, vol. 35(2), pages 254-265, April.
    4. Leggieri, Valeria & Haouari, Mohamed, 2017. "A practical solution approach for the green vehicle routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 97-112.
    5. Jose Carlos Molina & Ignacio Eguia & Jesus Racero, 2018. "An optimization approach for designing routes in metrological control services: a case study," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 924-952, December.
    6. Zhao, Jun & Huang, Lixia & Lee, Der-Horng & Peng, Qiyuan, 2016. "Improved approaches to the network design problem in regional hazardous waste management systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 52-75.
    7. Rau, Hsin & Budiman, Syarif Daniel & Widyadana, Gede Agus, 2018. "Optimization of the multi-objective green cyclical inventory routing problem using discrete multi-swarm PSO method," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 120(C), pages 51-75.
    8. Govind Kharat, Manoj & Murthy, Shankar & Jaisingh Kamble, Sheetal & Raut, Rakesh D. & Kamble, Sachin S. & Govind Kharat, Mukesh, 2019. "Fuzzy multi-criteria decision analysis for environmentally conscious solid waste treatment and disposal technology selection," Technology in Society, Elsevier, vol. 57(C), pages 20-29.
    9. G. B. Dantzig & J. H. Ramser, 1959. "The Truck Dispatching Problem," Management Science, INFORMS, vol. 6(1), pages 80-91, October.
    10. Hailin Wu & Fengming Tao & Qingqing Qiao & Mengjun Zhang, 2020. "A Chance-Constrained Vehicle Routing Problem for Wet Waste Collection and Transportation Considering Carbon Emissions," IJERPH, MDPI, vol. 17(2), pages 1-21, January.
    11. Ling Shen & Fengming Tao & Songyi Wang, 2018. "Multi-Depot Open Vehicle Routing Problem with Time Windows Based on Carbon Trading," IJERPH, MDPI, vol. 15(9), pages 1-20, September.
    12. Ling Shen & Fengming Tao & Yuhe Shi & Ruiru Qin, 2019. "Optimization of Location-Routing Problem in Emergency Logistics Considering Carbon Emissions," IJERPH, MDPI, vol. 16(16), pages 1-18, August.
    13. 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.
    14. Miranda, Pablo A. & Blazquez, Carola A. & Vergara, Rodrigo & Weitzler, Sebastian, 2015. "A novel methodology for designing a household waste collection system for insular zones," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 227-247.
    15. Gaoyuan Qin & Fengming Tao & Lixia Li, 2019. "A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions," IJERPH, MDPI, vol. 16(4), pages 1-17, February.
    16. K. Nageswara Reddy & Akhilesh Kumar & Erica E. F. Ballantyne, 2019. "A three-phase heuristic approach for reverse logistics network design incorporating carbon footprint," International Journal of Production Research, Taylor & Francis Journals, vol. 57(19), pages 6090-6114, October.
    17. Behnke, Martin & Kirschstein, Thomas, 2017. "The impact of path selection on GHG emissions in city logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 320-336.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haneen Algethami & Ghada Talat Alhothali, 2023. "Waste Collection Optimisation: A Path to a Green and Sustainable City of Makkah," Logistics, MDPI, vol. 7(3), pages 1-10, August.
    2. Saira Latif & Torbjörn Lindbäck & Magnus Karlberg & Johanna Wallsten, 2022. "Bale Collection Path Planning Using an Autonomous Vehicle with Neighborhood Collection Capabilities," Agriculture, MDPI, vol. 12(12), pages 1-20, November.
    3. Wanting Zhang & Ming Zeng & Peng Guo & Kun Wen, 2022. "Variable Neighborhood Search for Multi-Cycle Medical Waste Recycling Vehicle Routing Problem with Time Windows," IJERPH, MDPI, vol. 19(19), pages 1-25, October.
    4. Vincent F. Yu & Panca Jodiawan & Shih-Wei Lin & Winy Fara Nadira & Anna Maria Sri Asih & Le Nguyen Hoang Vinh, 2024. "Using Simulated Annealing to Solve the Multi-Depot Waste Collection Vehicle Routing Problem with Time Window and Self-Delivery Option," Mathematics, MDPI, vol. 12(3), pages 1-22, February.
    5. Asif Iqbal & Abdullah Yasar & Abdul-Sattar Nizami & Rafia Haider & Faiza Sharif & Imran Ali Sultan & Amtul Bari Tabinda & Aman Anwer Kedwaii & Muhammad Murtaza Chaudhary, 2022. "Municipal Solid Waste Collection and Haulage Modeling Design for Lahore, Pakistan: Transition toward Sustainability and Circular Economy," Sustainability, MDPI, vol. 14(23), pages 1-39, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Asghari, Mohammad & Mirzapour Al-e-hashem, S. Mohammad J., 2021. "Green vehicle routing problem: A state-of-the-art review," International Journal of Production Economics, Elsevier, vol. 231(C).
    2. Min-Xia Zhang & Hong-Fan Yan & Jia-Yu Wu & Yu-Jun Zheng, 2020. "Quarantine Vehicle Scheduling for Transferring High-Risk Individuals in Epidemic Areas," IJERPH, MDPI, vol. 17(7), pages 1-17, March.
    3. Behnke, Martin & Kirschstein, Thomas & Bierwirth, Christian, 2021. "A column generation approach for an emission-oriented vehicle routing problem on a multigraph," European Journal of Operational Research, Elsevier, vol. 288(3), pages 794-809.
    4. Jose Carlos Molina & Ignacio Eguia & Jesus Racero, 2019. "Reducing pollutant emissions in a waste collection vehicle routing problem using a variable neighborhood tabu search algorithm: a case study," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(2), pages 253-287, July.
    5. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem, 2021. "Green vehicle routing problem: A state-of-the-art review," Post-Print hal-03182944, HAL.
    6. Nicolas Rincon-Garcia & Ben J. Waterson & Tom J. Cherrett, 2018. "Requirements from vehicle routing software: perspectives from literature, developers and the freight industry," Transport Reviews, Taylor & Francis Journals, vol. 38(1), pages 117-138, January.
    7. Babagolzadeh, Mahla & Zhang, Yahua & Abbasi, Babak & Shrestha, Anup & Zhang, Anming, 2022. "Promoting Australian regional airports with subsidy schemes: Optimised downstream logistics using vehicle routing problem," Transport Policy, Elsevier, vol. 128(C), pages 38-51.
    8. Pradhananga, Rojee & Taniguchi, Eiichi & Yamada, Tadashi & Qureshi, Ali Gul, 2014. "Bi-objective decision support system for routing and scheduling of hazardous materials," Socio-Economic Planning Sciences, Elsevier, vol. 48(2), pages 135-148.
    9. Ehmke, Jan Fabian & Campbell, Ann M. & Thomas, Barrett W., 2018. "Optimizing for total costs in vehicle routing in urban areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 242-265.
    10. Qi, Mingyao & Lin, Wei-Hua & Li, Nan & Miao, Lixin, 2012. "A spatiotemporal partitioning approach for large-scale vehicle routing problems with time windows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 248-257.
    11. Zhiping Zuo & Yanhui Li & Jing Fu & Jianlin Wu, 2019. "Human Resource Scheduling Model and Algorithm with Time Windows and Multi-Skill Constraints," Mathematics, MDPI, vol. 7(7), pages 1-18, July.
    12. Jinil Han & Chungmok Lee & Sungsoo Park, 2014. "A Robust Scenario Approach for the Vehicle Routing Problem with Uncertain Travel Times," Transportation Science, INFORMS, vol. 48(3), pages 373-390, August.
    13. Baals, Julian & Emde, Simon & Turkensteen, Marcel, 2023. "Minimizing earliness-tardiness costs in supplier networks—A just-in-time truck routing problem," European Journal of Operational Research, Elsevier, vol. 306(2), pages 707-741.
    14. Sana Jawarneh & Salwani Abdullah, 2015. "Sequential Insertion Heuristic with Adaptive Bee Colony Optimisation Algorithm for Vehicle Routing Problem with Time Windows," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-23, July.
    15. Müller, Juliane, 2010. "Approximative solutions to the bicriterion Vehicle Routing Problem with Time Windows," European Journal of Operational Research, Elsevier, vol. 202(1), pages 223-231, April.
    16. Racha El-Hajj & Rym Nesrine Guibadj & Aziz Moukrim & Mehdi Serairi, 2020. "A PSO based algorithm with an efficient optimal split procedure for the multiperiod vehicle routing problem with profit," Annals of Operations Research, Springer, vol. 291(1), pages 281-316, August.
    17. Letizia Tebaldi & Teresa Murino & Eleonora Bottani, 2020. "An Adapted Version of the Water Wave Optimization Algorithm for the Capacitated Vehicle Routing Problem with Time Windows with Application to a Real Case Using Probe Data," Sustainability, MDPI, vol. 12(9), pages 1-13, May.
    18. Tomáš Režnar & Jan Martinovič & Kateřina Slaninová & Ekaterina Grakova & Vít Vondrák, 2017. "Probabilistic time-dependent vehicle routing problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(3), pages 545-560, September.
    19. Feng, Jianghong & Xu, Su Xiu & Xu, Gangyan & Cheng, Huibing, 2022. "An integrated decision-making method for locating parking centers of recyclable waste transportation vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    20. Kritikos, Manolis N. & Ioannou, George, 2010. "The balanced cargo vehicle routing problem with time windows," International Journal of Production Economics, Elsevier, vol. 123(1), pages 42-51, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:4963-:d:382538. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.