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Mixed-integer linear programming models for the paint waste management problem

Author

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  • Wang, Juyoung
  • Cevik, Mucahit
  • Amin, Saman Hassanzadeh
  • Parsaee, Amir Ali

Abstract

Hazardous wastes have significant negative impacts on environment and people, which make their management a prominent task. A general hazardous waste reverse logistics network consists of sources, collection centers, treatment centers, processing/recycling facilities, and disposal facilities. We study a reverse logistics network specifically for household hazardous wastes and examine its difference from a non-hazardous and industrial waste network. We consider multi-objective mixed-integer deterministic and stochastic mathematical models that are designed to answer the following questions: which facilities or centers should be opened, which routes should be utilized, and how much waste should be transported to each location in order to minimize the transportation cost, transportation/site risk, and to maximize household convenience for the purpose of participation increase at collection stage. Specifically, we propose an optimization framework for the management of hazardous household wastes, and consider the waste paint network in the City of Toronto, Ontario, Canada as a test bed for our analysis. Finally, we provide easy-to-interpret visualization tools for the problem, which help interpreting the model outcomes and identifying policy insights.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:transe:v:151:y:2021:i:c:s1366554521001149
    DOI: 10.1016/j.tre.2021.102343
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    References listed on IDEAS

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    1. Nasrin Asgari & Mohsen Rajabi & Masoumeh Jamshidi & Maryam Khatami & Reza Zanjirani Farahani, 2017. "A memetic algorithm for a multi-objective obnoxious waste location-routing problem: a case study," Annals of Operations Research, Springer, vol. 250(2), pages 279-308, March.
    2. Giannikos, Ioannis, 1998. "A multiobjective programming model for locating treatment sites and routing hazardous wastes," European Journal of Operational Research, Elsevier, vol. 104(2), pages 333-342, January.
    3. Ehsan Ardjmand & Gary Weckman & Namkyu Park & Pooya Taherkhani & Manjeet Singh, 2015. "Applying genetic algorithm to a new location and routing model of hazardous materials," International Journal of Production Research, Taylor & Francis Journals, vol. 53(3), pages 916-928, February.
    4. Paul Berglund & Changhyun Kwon, 2014. "Robust Facility Location Problem for Hazardous Waste Transportation," Networks and Spatial Economics, Springer, vol. 14(1), pages 91-116, March.
    5. Omid Boyer & Tang Sai Hong & Ali Pedram & Rosnah Bt Mohd Yusuff & Norzima Zulkifli, 2013. "A Mathematical Model for the Industrial Hazardous Waste Location-Routing Problem," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-10, December.
    6. 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.
    7. 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.
    8. Sheu, Jiuh-Biing & Chen, Yenming J., 2012. "Impact of government financial intervention on competition among green supply chains," International Journal of Production Economics, Elsevier, vol. 138(1), pages 201-213.
    9. Hu, Tung-Lai & Sheu, Jiuh-Biing & Huang, Kuan-Hsiung, 2002. "A reverse logistics cost minimization model for the treatment of hazardous wastes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(6), pages 457-473, November.
    10. 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.
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