IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i6p3536-d773376.html
   My bibliography  Save this article

A Multi-Commodity Mathematical Modelling Approach—Hazardous Waste Treatment Infrastructure Planning in the Czech Republic

Author

Listed:
  • Radovan Šomplák

    (Faculty of Mechanical Engineering, Institute of Process Engineering, Brno University of Technology, Technická 2896/2, 616 69 Brno, Czech Republic)

  • Jiří Kropáč

    (Faculty of Mechanical Engineering, Institute of Process Engineering, Brno University of Technology, Technická 2896/2, 616 69 Brno, Czech Republic)

  • Jaroslav Pluskal

    (Faculty of Mechanical Engineering, Institute of Process Engineering, Brno University of Technology, Technická 2896/2, 616 69 Brno, Czech Republic)

  • Martin Pavlas

    (Faculty of Mechanical Engineering, Institute of Process Engineering, Brno University of Technology, Technická 2896/2, 616 69 Brno, Czech Republic)

  • Boris Urbánek

    (Dekonta, a.s., Dřetovice 109, 273 12 Stehelčeves, Czech Republic)

  • Petra Vítková

    (Dekonta, a.s., Dřetovice 109, 273 12 Stehelčeves, Czech Republic)

Abstract

This paper presents an analysis of infrastructure for the processing of Czech hazardous waste and pays attention to predictions of waste management development in the upcoming years. For this purpose, a unique complex approach to modelling future waste management changes is applied. The method uses a multi-commodity network flow model with reverse flows between treatment facilities to consider complete waste management of hazardous waste. The future outlook (2030) for the forecasted generation of different types of hazardous waste in the Czech Republic requires decisions on waste treatment facility infrastructure. The uniqueness lies in using real data for such a wide scope of a task, further enhanced by concurrent analysis of more types of waste interconnected through limited processing capacities. The results indicate the insufficiency in hazardous waste thermal treatment and stabilization. A suggestion is to extend the incineration capacity because it influences the stabilization units, which must process the remaining waste. The recommended increase is 100% with different proportions in individual regions.

Suggested Citation

  • Radovan Šomplák & Jiří Kropáč & Jaroslav Pluskal & Martin Pavlas & Boris Urbánek & Petra Vítková, 2022. "A Multi-Commodity Mathematical Modelling Approach—Hazardous Waste Treatment Infrastructure Planning in the Czech Republic," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3536-:d:773376
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/6/3536/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/6/3536/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Barbosa-Póvoa, Ana Paula & da Silva, Cátia & Carvalho, Ana, 2018. "Opportunities and challenges in sustainable supply chain: An operations research perspective," European Journal of Operational Research, Elsevier, vol. 268(2), pages 399-431.
    2. Nima Kazemi & Nikunja Mohan Modak & Kannan Govindan, 2019. "A review of reverse logistics and closed loop supply chain management studies published in IJPR: a bibliometric and content analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4937-4960, August.
    3. Weixia Wang & Jian Bao & Sijia Yuan & Haiyun Zhou & Guoping Li, 2019. "Proposal for Planning an Integrated Management of Hazardous Waste: Chemical Park, Jiangsu Province, China," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
    4. 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.
    5. Court, Christa D. & Munday, Max & Roberts, Annette & Turner, Karen, 2015. "Can hazardous waste supply chain ‘hotspots’ be identified using an input–output framework?," European Journal of Operational Research, Elsevier, vol. 241(1), pages 177-187.
    6. Lam, Hon Loong & Klemeš, Jiří Jaromír & Kravanja, Zdravko, 2011. "Model-size reduction techniques for large-scale biomass production and supply networks," Energy, Elsevier, vol. 36(8), pages 4599-4608.
    7. 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.
    8. David M. Goldberg & Sukhwa Hong, 2019. "Minimizing the Risks of Highway Transport of Hazardous Materials," Sustainability, MDPI, vol. 11(22), pages 1-10, November.
    9. Ziyuan Liu & Yingzhao Wu & Tianle Liu & Xiaoxue Wang & Wenzhuo Li & Ying Yin & Xiangfei Xiao, 2021. "Double Path Optimization of Transport of Industrial Hazardous Waste Based on Green Supply Chain Management," Sustainability, MDPI, vol. 13(9), pages 1-19, May.
    10. Chatzouridis, Constantinos & Komilis, Dimitrios, 2012. "A methodology to optimally site and design municipal solid waste transfer stations using binary programming," Resources, Conservation & Recycling, Elsevier, vol. 60(C), pages 89-98.
    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. Chung-Kwan Lo & Xiaowei Huang & Ka-Luen Cheung, 2022. "Toward a Design Framework for Mathematical Modeling Activities: An Analysis of Official Exemplars in Hong Kong Mathematics Education," Sustainability, MDPI, vol. 14(15), pages 1-17, August.

    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. Suzanne, Elodie & Absi, Nabil & Borodin, Valeria, 2020. "Towards circular economy in production planning: Challenges and opportunities," European Journal of Operational Research, Elsevier, vol. 287(1), pages 168-190.
    2. 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.
    3. Potrč, Sanja & Čuček, Lidija & Martin, Mariano & Kravanja, Zdravko, 2021. "Sustainable renewable energy supply networks optimization – The gradual transition to a renewable energy system within the European Union by 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    4. Salehi-Amiri, Amirhossein & Zahedi, Ali & Akbapour, Navid & Hajiaghaei-Keshteli, Mostafa, 2021. "Designing a sustainable closed-loop supply chain network for walnut industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    5. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    6. Yan Sun & Maoxiang Lang & Danzhu Wang, 2016. "Bi-Objective Modelling for Hazardous Materials Road–Rail Multimodal Routing Problem with Railway Schedule-Based Space–Time Constraints," IJERPH, MDPI, vol. 13(8), pages 1-31, July.
    7. 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).
    8. Govindan, Kannan & Salehian, Farhad & Kian, Hadi & Hosseini, Seyed Teimoor & Mina, Hassan, 2023. "A location-inventory-routing problem to design a circular closed-loop supply chain network with carbon tax policy for achieving circular economy: An augmented epsilon-constraint approach," International Journal of Production Economics, Elsevier, vol. 257(C).
    9. Pablo Pérez-Gosende & Josefa Mula & Manuel Díaz-Madroñero, 2020. "Overview of Dynamic Facility Layout Planning as a Sustainability Strategy," Sustainability, MDPI, vol. 12(19), pages 1-16, October.
    10. Feng Dai & Yi Chen, 2023. "Integrated dynamic municipal solid waste transfer station location decision study based on the dynamic MSW generation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6033-6047, July.
    11. M. Masanta & B. C. Giri, 2022. "A manufacturing–remanufacturing supply chain model with learning and forgetting in inspection under consignment stock agreement," Operational Research, Springer, vol. 22(4), pages 4093-4117, September.
    12. Ebrahimi Bajgani, Sahar & Saberi, Sara & Toyasaki, Fuminori, 2023. "Designing a reverse supply chain network with quality control for returned products: Strategies to mitigate free-riding effect and ensure compliance with technology licensing requirements," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    13. Castellano, Davide & Gallo, Mosè & Grassi, Andrea & Santillo, Liberatina C., 2019. "The effect of GHG emissions on production, inventory replenishment and routing decisions in a single vendor-multiple buyers supply chain," International Journal of Production Economics, Elsevier, vol. 218(C), pages 30-42.
    14. Xin, Li & Xi, Chen & Sagir, Mujgan & Wenbo, Zhang, 2023. "How can infectious medical waste be forecasted and transported during the COVID-19 pandemic? A hybrid two-stage method," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    15. Ehsan Shekarian & Behrang Ijadi & Amirreza Zare & Jukka Majava, 2022. "Sustainable Supply Chain Management: A Comprehensive Systematic Review of Industrial Practices," Sustainability, MDPI, vol. 14(13), pages 1-30, June.
    16. Bian, Junsong & Liao, Yi & Wang, Yao-Yu & Tao, Feng, 2021. "Analysis of firm CSR strategies," European Journal of Operational Research, Elsevier, vol. 290(3), pages 914-926.
    17. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
    18. Clavijo-Buritica, Nicolás & Triana-Sanchez, Laura & Escobar, John Willmer, 2023. "A hybrid modeling approach for resilient agri-supply network design in emerging countries: Colombian coffee supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    19. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    20. Siddharth Shankar Rai & Shivam Rai & Nitin Kumar Singh, 2021. "Organizational resilience and social-economic sustainability: COVID-19 perspective," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12006-12023, August.

    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:14:y:2022:i:6:p:3536-:d:773376. 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.