IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i17p9855-d627611.html
   My bibliography  Save this article

Redesigning the Municipal Solid Waste Supply Chain Considering the Classified Collection and Disposal: A Case Study of Incinerable Waste in Beijing

Author

Listed:
  • Xiaoyu Yang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Xiaopeng Guo

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)

  • Kun Yang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

The output of municipal solid waste is growing rapidly, which has brought tremendous pressure to urban development. The supply chain of municipal solid waste (MSW) in China mainly contains three processes: collection, transportation, and disposal. The waste is sorted at the collection and disposed of according to the classification. However, it is mixed at the transportation stage. Mixed transportation remixes the separately collected waste, which seriously affects the disposal effect. The supply chain of MSW urgently needs to be redesigned to improve the MSW disposal effect. First of all, on the ground of the waste treatment situation, we redesigned the supply chain of MSW in China. Secondly, combined with the redesign of the MSW supply chain, this paper established the function allocation model for collection stations, making a collection station only gather one type of waste, and built the transportation path planning model for vehicles, reducing the impact of waste storage on residents. Finally, based on the data of Xuanwu District in Beijing, the supply chain redesigning practical example of incinerable waste was given. The supply chain redesigning model in this paper not only makes full use of the existing infrastructure but also improves the disposal effect of waste. The supply chain redesigning model has practical application value.

Suggested Citation

  • Xiaoyu Yang & Xiaopeng Guo & Kun Yang, 2021. "Redesigning the Municipal Solid Waste Supply Chain Considering the Classified Collection and Disposal: A Case Study of Incinerable Waste in Beijing," Sustainability, MDPI, vol. 13(17), pages 1-20, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9855-:d:627611
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/17/9855/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/17/9855/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liangjun Peng & Mengdi Gu & Zhijun Peng, 2020. "Study on the Optimized Mode of Waste Governance with Sustainable Urban Development—Case from China’s Urban Waste Classified Collection," Sustainability, MDPI, vol. 12(9), pages 1-12, May.
    2. Rajesh Kumar Rai & Mani Nepal & Madan Singh Khadayat & Bishal Bhardwaj, 2019. "Improving Municipal Solid Waste Collection Services in Developing Countries: A Case of Bharatpur Metropolitan City, Nepal," Sustainability, MDPI, vol. 11(11), pages 1-17, May.
    3. 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.
    4. Demesouka, Olympia E. & Anagnostopoulos, Konstantinos P. & Siskos, Eleftherios, 2019. "Spatial multicriteria decision support for robust land-use suitability: The case of landfill site selection in Northeastern Greece," European Journal of Operational Research, Elsevier, vol. 272(2), pages 574-586.
    5. Yılmaz Balaman, Şebnem & Wright, Daniel G. & Scott, James & Matopoulos, Aristides, 2018. "Network design and technology management for waste to energy production: An integrated optimization framework under the principles of circular economy," Energy, Elsevier, vol. 143(C), pages 911-933.
    6. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
    7. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
    8. Mar Carlos & Antonio Gallardo & Natalia Edo-Alcón & Juan Ramón Abaso, 2019. "Influence of the Municipal Solid Waste Collection System on the Time Spent at a Collection Point: A Case Study," Sustainability, MDPI, vol. 11(22), pages 1-14, November.
    9. Mota, Bruna & Gomes, Maria Isabel & Carvalho, Ana & Barbosa-Povoa, Ana Paula, 2018. "Sustainable supply chains: An integrated modeling approach under uncertainty," Omega, Elsevier, vol. 77(C), pages 32-57.
    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. Chen Liang & Dongshi Sun & Danlan Xie, 2023. "Identifying Waste Supply Chain Coordination Barriers with Fuzzy MCDM," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    2. Tan Yigitcanlar, 2021. "Greening the Artificial Intelligence for a Sustainable Planet: An Editorial Commentary," Sustainability, MDPI, vol. 13(24), pages 1-9, 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. Zhou, Xiaoyang & Wei, Xiaoya & Lin, Jun & Tian, Xin & Lev, Benjamin & Wang, Shouyang, 2021. "Supply chain management under carbon taxes: A review and bibliometric analysis," Omega, Elsevier, vol. 98(C).
    2. Christina Hess & Alina G. Dragomir & Karl F. Doerner & Daniele Vigo, 2024. "Waste collection routing: a survey on problems and methods," 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. 32(2), pages 399-434, June.
    3. 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.
    4. Hallak, Bassam K. & Nasr, Walid W. & Jaber, Mohamad Y., 2021. "Re-ordering policies for inventory systems with recyclable items and stochastic demand – Outsourcing vs. in-house recycling," Omega, Elsevier, vol. 105(C).
    5. Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2021. "Remanufacturing configuration in complex supply chains," Omega, Elsevier, vol. 101(C).
    6. Liu, Chong & Tang, Jiaze & Zhang, Zhi-Hai, 2024. "Impacts of capacity redundancy and process flexibility on risk mitigation in e-waste recycling supply chain management," Omega, Elsevier, vol. 128(C).
    7. Shao, Saijun & Xu, Su Xiu & Huang, George Q., 2020. "Variable neighborhood search and tabu search for auction-based waste collection synchronization," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 1-20.
    8. Chamari Pamoshika Jayarathna & Duzgun Agdas & Les Dawes & Tan Yigitcanlar, 2021. "Multi-Objective Optimization for Sustainable Supply Chain and Logistics: A Review," Sustainability, MDPI, vol. 13(24), pages 1-31, December.
    9. Blossey, Gregor & Hahn, Gerd J. & Koberstein, Achim, 2022. "Planning pharmaceutical manufacturing networks in the light of uncertain production approval times," International Journal of Production Economics, Elsevier, vol. 244(C).
    10. Becker, Tristan & Wolff, Michael & Linzenich, Anika & Engelmann, Linda & Arning, Katrin & Ziefle, Martina & Walther, Grit, 2024. "An integrated bi-objective optimization model accounting for the social acceptance of renewable fuel production networks," European Journal of Operational Research, Elsevier, vol. 315(1), pages 354-367.
    11. Bayani Majd, Amir & Hajavi Seydlari, Giti & Yaghoubi, Saeed, 2025. "A GIS-based food-energy-water-health-pollution nexus for sustainable food-biofuel-bioenergy supply chain network design: A case study," Energy, Elsevier, vol. 328(C).
    12. Shuangyan Li & Yijing Liang & Zhenjie Wang & Dezhi Zhang, 2021. "An Optimization Model of a Sustainable City Logistics Network Design Based on Goal Programming," Sustainability, MDPI, vol. 13(13), pages 1-20, July.
    13. Shi, Yi & Deng, Yawen & Wang, Guoan & Xu, Jiuping, 2020. "Stackelberg equilibrium-based eco-economic approach for sustainable development of kitchen waste disposal with subsidy policy: A case study from China," Energy, Elsevier, vol. 196(C).
    14. Thi Thanh Thuy Phan & Van Viet Nguyen & Hong Thi Thu Nguyen & Chun-Hung Lee, 2022. "Integrating Citizens’ Importance-Performance Aspects into Sustainable Plastic Waste Management in Danang, Vietnam," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    15. Cristina Blasi Casagran & Colleen Boland & Elena Sánchez-Montijano & Eva Vilà Sanchez, 2021. "The Role of Emerging Predictive IT Tools in Effective Migration Governance," Politics and Governance, Cogitatio Press, vol. 9(4), pages 133-145.
    16. Xiaoyan Li & Xuedong Liang & Zhi Li, 2023. "The Strategy of Strengthening Efficiency and Environmental Performance of Product Changeover in the Multiproduct Production System," SAGE Open, , vol. 13(3), pages 21582440231, September.
    17. He Tingting, 2021. "Comparing Money and Time Donation: What Do Experiments Tell Us?," Marketing of Scientific and Research Organizations, Sciendo, vol. 41(3), pages 65-94, September.
    18. Alberto Cerezo-Narváez & Andrés Pastor-Fernández & Manuel Otero-Mateo & Pablo Ballesteros-Pérez, 2022. "The Influence of Knowledge on Managing Risk for the Success in Complex Construction Projects: The IPMA Approach," Sustainability, MDPI, vol. 14(15), pages 1-30, August.
    19. Rafidah Md Noor & Nadia Bella Gustiani Rasyidi & Tarak Nandy & Raenu Kolandaisamy, 2020. "Campus Shuttle Bus Route Optimization Using Machine Learning Predictive Analysis: A Case Study," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    20. Dominika Ehrenbergerová & Martin Hodula & Zuzana Gric, 2022. "Does capital-based regulation affect bank pricing policy?," Journal of Regulatory Economics, Springer, vol. 61(2), pages 135-167, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:13:y:2021:i:17:p:9855-:d:627611. 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.