Optimization models for medical waste management: Before and during COVID-19 pandemic
Yazarlar (1)
Dr. Öğr. Üyesi Murat YEŞİLKAYA Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Computers & Industrial Engineering (Q1) | ||
| Dergi ISSN | 0360-8352 Dergi Bilgileri (2026) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 08-2026 |
| Cilt / Sayı / Sayfa | 218 / 1 / – | DOI | 10.1016/j.cie.2026.112068 |
| Makale Linki | https://doi.org/10.1016/j.cie.2026.112068 | ||
| UAK Araştırma Alanları |
Yöneylem Araştırması
Modelleme ve Optimizasyon
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| Özet |
| The novel coronavirus (COVID-19) pandemic has increased the urgency for efficient medical waste management (MWM) to reduce risks to the public’s health and the environment. For this purpose, we examine the changes in MWM during and before/after COVID-19. Initially, we present a comprehensive literature review and bibliometric analysis of studies that propose mathematical programming models for MWM. These mathematical programming models have become increasingly prevalent in response to the COVID-19 pandemic. The studies discussed cover a range of objectives and methodologies to address the challenges of the effective handling, location, transportation, and treatment of medical waste while minimizing costs, risks, and environmental impact. The outcome of the pandemic is modeled by including uncertainty and temporary facilities in the network structure. Then, in this light, we propose two … |
| Anahtar Kelimeler |
| COVID-19 pandemic | Mathematical programming model | Medical waste management | Operation research in healthcare | Uncertainly |
Science Direct
Optimization models for medical waste management: Before and during COVID-19 pandemic
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 2 |
| Scopus | 2 |
| Google Scholar | 3 |