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An integrated model for management of hazardous waste in a smart city with a sustainable approach

Author

Listed:
  • Arman Saeidi

    (University of Tehran)

  • Soroush Aghamohamadi-Bosjin

    (University of Tehran)

  • Masoud Rabbani

    (University of Tehran)

Abstract

Management of hazardous waste deals with the cost-effective, efficient, social, and environmental concern, and the concept of sustainability includes all of these issues. In this regard, new approaches are emerging to handle waste management according to the concept of smart city. In the current study, a mathematical model is developed for the hazardous waste location-routing problems to determine the best decisions in a hazardous waste Management (HWM) system. The proposed model aims to maximize the total profit of the HWM system and reduce the destructive effects of hazardous waste from the perspective of environmental and social impacts. In order to advance the efficiency and practicality of the proposed model, a solution method based on the non-dominated sorting genetic algorithm III, a recently presented metaheuristic procedure, is applied to efficiency solve the problem. The current study takes into account the concept of Information and Communications Technology ICT and Internet of Things technology in hazardous waste location-routing modeling. In addition, some sensitivity analyses are implemented to assess the behavior of the model and extract managerial insights.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:7:d:10.1007_s10668-020-01048-7
    DOI: 10.1007/s10668-020-01048-7
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    References listed on IDEAS

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    1. Yingying Kang & Rajan Batta & Changhyun Kwon, 2014. "Value-at-Risk model for hazardous material transportation," Annals of Operations Research, Springer, vol. 222(1), pages 361-387, November.
    2. Zhang, Bo & Li, Hui & Li, Shengguo & Peng, Jin, 2018. "Sustainable multi-depot emergency facilities location-routing problem with uncertain information," Applied Mathematics and Computation, Elsevier, vol. 333(C), pages 506-520.
    3. Nagy, Gabor & Salhi, Said, 2007. "Location-routing: Issues, models and methods," European Journal of Operational Research, Elsevier, vol. 177(2), pages 649-672, March.
    4. 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.
    5. 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.
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    Cited by:

    1. Majid Heidari & Masoud Rabbani, 2023. "Leagile sustainable supply chain network design considering disruption risk by C-Var approach: a case study," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(3), pages 1062-1088, June.

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