Loading...

A novel robust possibilistic programming approach for the hazardous waste location-routing problem considering the risks of transportation and population

Delfani, F ; Sharif University of Technology | 2021

208 Viewed
  1. Type of Document: Article
  2. DOI: 10.1080/23302674.2020.1781954
  3. Publisher: Taylor and Francis Ltd , 2021
  4. Abstract:
  5. Nowadays, fast growth in industrial transformation and urbanization pushes the management of hazardous waste into a crisis for all markets. In this study, a multi-objective mathematical model is introduced to address a new version of the hazardous waste location-routing problem. As another multi-objective optimization model in this research area, the objective functions are minimizing the total costs, the overall risk associated with sending the hazardous waste, and the site risk related to the population in a given distance around the facilities. With regards to the literature and as far as the authors know, this is the first attempt to consider both risks of transportation and population simultaneously in addition to the total cost. Another contribution of this research is the development of a basic possibilistic chance-constrained programming (BPCCP) approach. After that, a robust possibilistic programming (RPP) model of the proposed problem is introduced to deal with the uncertainty of the model’s parameters. While the applicability of the proposed models is addressed, it is revealed that the RPP model obtains better solutions in comparison with the BPCCP model for different realizations and sensitivities. Finally, practical insights are concluded from the results. © 2020 Informa UK Limited, trading as Taylor & Francis Group
  6. Keywords:
  7. Hazardous waste ; Location-routing problem ; Risks ; Robust possibilistic programming
  8. Source: International Journal of Systems Science: Operations and Logistics ; Volume 8, Issue 4 , 2021 , Pages 383-395 ; 23302674 (ISSN)
  9. URL: https://www.tandfonline.com/author/Niaki%2C+Seyed+Taghi+Akhavan