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Optimal distribution and waste management of Covid-19 vaccines from vaccination centers’ satisfaction perspective – A fuzzy time window-based VRP

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  • Maleki, Abolfazl
  • Hemmati, Vahid
  • Reza Abazari, Seyed
  • Aghsami, Amir
  • Rabbani, Masoud

Abstract

Due to the unforeseen outcomes of the recent COVID-19 pandemic, the adoption of essential policies and tactics to implement public vaccination programs has gained attention worldwide. Statistics indicate that medical waste production is growing dramatically, posing a major risk to both individuals and the environment if not properly handled. In this context, we present a sustainable fuzzy multi-objective, multi-period, multi-product, and location-allocation model that considers both the vaccine distribution phase and the medical waste management process. The model addresses the capacitated and multi-depot vehicle routing problem (VRP) with heterogeneous vehicles. Moreover, as a new social aspect from vaccination centers’ perspective, a fuzzy version of the time-window is considered in the model to integrate both satisfaction level and priority of the nodes that must be visited. Subsequently, the augmented ε-constraint, TH method, and LP-Metric approach are utilized to solve the proposed multi-objective model. To provide empirical support for the model’s input parameters and evaluate the effectiveness of the solution strategies, data for a medical supply chain network (MSCN) in Iran is used. The results demonstrate that shifting the vaccination centers’ desired time to be serviced might be a suitable solution to stop the emission rate from increasing or the satisfaction levels from falling.

Suggested Citation

  • Maleki, Abolfazl & Hemmati, Vahid & Reza Abazari, Seyed & Aghsami, Amir & Rabbani, Masoud, 2024. "Optimal distribution and waste management of Covid-19 vaccines from vaccination centers’ satisfaction perspective – A fuzzy time window-based VRP," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    • Handle: RePEc:eee:transe:v:183:y:2024:i:c:s1366554524000449
    DOI: 10.1016/j.tre.2024.103454
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