IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i22p4340-d977355.html
   My bibliography  Save this article

Optimal Route Design for Construction Waste Transportation Systems: Mathematical Models and Solution Algorithms

Author

Listed:
  • Haoqing Wang

    (Faculty of Business, The Hong Kong Polytechnic University, Hong Kong, China)

  • Wen Yi

    (Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China)

  • Yannick Liu

    (Faculty of Business, The Hong Kong Polytechnic University, Hong Kong, China)

Abstract

A huge amount of construction waste is generated in construction sites every day that needs to be transported by vehicle to disposal facilities for processing. Unlike in most typical transportation problems, once these vehicles are loaded with construction waste, they must travel directly to the disposal facility. Moreover, there are different types of construction waste that may require handling by different disposal facilities. In this paper, we develop a model and algorithm for identifying the optimal transportation routes specific to construction waste transportation. Our results can not only minimize the overall costs for both the logistics company and the contractor but also minimize the distance traveled, thus reducing urban traffic emissions.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:22:p:4340-:d:977355
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/22/4340/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/22/4340/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shuaian Wang & Dan Zhuge & Lu Zhen & Chung-Yee Lee, 2021. "Liner Shipping Service Planning Under Sulfur Emission Regulations," Transportation Science, INFORMS, vol. 55(2), pages 491-509, March.
    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. Yue Jin & Ana Muriel, 2009. "Single‐warehouse multi‐retailer inventory systems with full truckload shipments," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(5), pages 450-464, August.
    4. Zhen, Lu & Hu, Yi & Wang, Shuaian & Laporte, Gilbert & Wu, Yiwei, 2019. "Fleet deployment and demand fulfillment for container shipping liners," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 15-32.
    5. Zhen, Lu & Wu, Yiwei & Wang, Shuaian & Laporte, Gilbert, 2020. "Green technology adoption for fleet deployment in a shipping network," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 388-410.
    6. Wang, Kai & Wang, Shuaian & Zhen, Lu & Qu, Xiaobo, 2017. "Cruise service planning considering berth availability and decreasing marginal profit," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 1-18.
    7. Wang, Shuaian & Zhen, Lu & Zhuge, Dan, 2018. "Dynamic programming algorithms for selection of waste disposal ports in cruise shipping," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 235-248.
    8. Ulrich Derigs & Stefan Friederichs, 2009. "On the application of a transportation model for revenue optimization in waste management: a case study," 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. 17(1), pages 81-93, March.
    9. Samanlioglu, Funda, 2013. "A multi-objective mathematical model for the industrial hazardous waste location-routing problem," European Journal of Operational Research, Elsevier, vol. 226(2), pages 332-340.
    10. 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.
    11. Inghels, Dirk & Dullaert, Wout & Vigo, Daniele, 2016. "A service network design model for multimodal municipal solid waste transport," European Journal of Operational Research, Elsevier, vol. 254(1), pages 68-79.
    12. Rabbani, M. & Heidari, R. & Yazdanparast, R., 2019. "A stochastic multi-period industrial hazardous waste location-routing problem: Integrating NSGA-II and Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 272(3), pages 945-961.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    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. Han, Jialin & Zhang, Jiaxiang & Guo, Haoyue & Zhang, Ning, 2024. "Optimizing location-routing and demand allocation in the household waste collection system using a branch-and-price algorithm," European Journal of Operational Research, Elsevier, vol. 316(3), pages 958-975.
    2. Ghalehkhondabi, Iman & Maihami, Reza & Ahmadi, Ehsan, 2020. "Optimal pricing and environmental improvement for a hazardous waste disposal supply chain with emission penalties," Utilities Policy, Elsevier, vol. 62(C).
    3. Wu, Weitiao & Ma, Jian & Liu, Ronghui & Jin, Wenzhou, 2022. "Multi-class hazmat distribution network design with inventory and superimposed risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    4. Wen Yi & Robyn Phipps & Hans Wang, 2020. "Sustainable Ship Loading Planning for Prefabricated Products in the Construction Industry," Sustainability, MDPI, vol. 12(21), pages 1-12, October.
    5. 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.
    6. Di Wu & Xuejun Ji & Fang Xiao & Shijie Sheng, 2022. "A Location Inventory Routing Optimisation Model and Algorithm for a Remote Island Shipping Network considering Emergency Inventory," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    7. Yiwei Wu & Hongyu Zhang & Fei Li & Shuaian Wang & Lu Zhen, 2023. "Optimal Selection of Multi-Fuel Engines for Ships Considering Fuel Price Uncertainty," Mathematics, MDPI, vol. 11(17), pages 1-14, August.
    8. Chunlin Xin & Jie Wang & Ziping Wang & Chia-Huei Wu & Muhammad Nawaz & Sang-Bing Tsai, 2022. "Reverse logistics research of municipal hazardous waste: a literature review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1495-1531, February.
    9. M. Tadaros & A. Migdalas, 2022. "Bi- and multi-objective location routing problems: classification and literature review," Operational Research, Springer, vol. 22(5), pages 4641-4683, November.
    10. Misagh Rahbari & Alireza Arshadi Khamseh & Yaser Sadati-Keneti & Mohammad Javad Jafari, 2022. "A risk-based green location-inventory-routing problem for hazardous materials: NSGA II, MOSA, and multi-objective black widow optimization," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2804-2840, February.
    11. Fumin Deng & Yanjie Li & Huirong Lin & Jinrui Miao & Xuedong Liang, 2020. "A BWM-TOPSIS Hazardous Waste Inventory Safety Risk Evaluation," IJERPH, MDPI, vol. 17(16), pages 1-18, August.
    12. Yang, Lingxiao & Zheng, Jianfeng & Wang, Jian & Hu, Xiaowei, 2023. "The maximal detour liner shipping hub location problem: Improving the applicability of the p-hub center problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    13. Yu, Jingjing & Tang, Guolei & Song, Xiangqun, 2022. "Collaboration of vessel speed optimization with berth allocation and quay crane assignment considering vessel service differentiation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    14. Wang, Juyoung & Cevik, Mucahit & Amin, Saman Hassanzadeh & Parsaee, Amir Ali, 2021. "Mixed-integer linear programming models for the paint waste management problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    15. Yan, Ran & Wang, Shuaian & Cao, Jiannong & Sun, Defeng, 2021. "Shipping Domain Knowledge Informed Prediction and Optimization in Port State Control," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 52-78.
    16. Zhuge, Dan & Wang, Shuaian & Wang, David Z.W., 2021. "A joint liner ship path, speed and deployment problem under emission reduction measures," Transportation Research Part B: Methodological, Elsevier, vol. 144(C), pages 155-173.
    17. 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.
    18. 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.
    19. Ondrej Stopka & Maria Stopkova & Rudolf Kampf, 2019. "Application of the Operational Research Method to Determine the Optimum Transport Collection Cycle of Municipal Waste in a Predesignated Urban Area," Sustainability, MDPI, vol. 11(8), pages 1-15, April.
    20. Liling Huang & Yong Tan & Xiongping Yue, 2024. "Optimizing Route and Speed under the Sulfur Emission Control Areas for a Cruise Liner: A New Strategy Considering Route Competitiveness and Low Carbon," Mathematics, MDPI, vol. 12(12), pages 1-17, June.

    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:jmathe:v:10:y:2022:i:22:p:4340-:d:977355. 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.