Green reverse logistics network design for medical waste management: A circular economy transition through case approach

Kannan Govindan*, Saeede Nosrati-Abarghooee, Mohammad Mahdi Nasiri, Fariborz Jolai

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

68 Downloads (Pure)


The lack of proper management of medical waste leads to environmental pollution and threatens the lives of communities. Good medical waste management means appropriate planning and monitoring at all stages, including collection, separation, treatment, recycling, and disposal which promotes a circular approach. This paper presents a multi-item, multi-period, and bi-objective mixed-integer linear programming circular economy transition model for medical waste management considering the uncertainty in the amount of waste generated to design a green reverse network. In this paper, for the first time, the concept of queuing theory is applied to manage the waiting time of trucks carrying infectious waste in treatment centers. In addition, the proposed model simultaneously addresses the centers' location and heterogeneous vehicles routing, and uses a stochastic scenario-based approach to deal with uncertainty of the waste generated. The purpose of the proposed model is to minimize total cost and population risk, and for this end, to employ an improved augmented epsilon-constraint method (AUGMECON2). Finally, the efficiency of the proposed model and solution approach is examined using the data of a case study in Alborz province that includes six hospitals, three potential collection centers, three potential treatment centers, four potential recycling centers, and three potential disposal centers.

Original languageEnglish
Article number115888
JournalJournal of Environmental Management
Publication statusPublished - 15. Nov 2022


  • Circular economy
  • Green reverse network
  • Location-routing problem
  • Mathematical programming model
  • Medical waste management
  • Queuing theory


Dive into the research topics of 'Green reverse logistics network design for medical waste management: A circular economy transition through case approach'. Together they form a unique fingerprint.

Cite this