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Disaster relief inventory simulation: Managing resources in humanitarian camps

İsim Disaster relief inventory simulation: Managing resources in humanitarian camps
Yazar Kundakcioglu, O. Erhun, Yildiz, Cem Yarkin
Basım Tarihi: 2024-01-01
Basım Yeri - IEEE
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 979-8-3315-3421-9
Kayıt Numarası b2f11f37-0810-4275-9c02-faaab1e2b762
Lokasyon Industrial Engineering
Tarih 2024-01-01
Notlar TÜBİTAK
Örnek Metin Natural disasters and conflicts often result in humanitarian crises, necessitating effective inventory management to meet the needs of displaced populations. This paper introduces a sophisticated simulation model tailored for disaster relief scenarios. By integrating real-world dynamics and constraints, such as perishability of goods, budget constraints, and uncertain demand, the model offers a robust framework for decision-makers in humanitarian organizations addressing post-disaster inventory management challenges. The simulation tool is open source, promoting widespread adoption and adaptation, thereby enriching the humanitarian logistics toolbox. Computational experiments are conducted to validate the simulation engine and provide valuable insights.
DOI 10.1109/WSC63780.2024.10838763
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Disaster relief inventory simulation: Managing resources in humanitarian camps

Yazar Kundakcioglu, O. Erhun, Yildiz, Cem Yarkin
Basım Tarihi 2024-01-01
Basım Yeri - IEEE
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 979-8-3315-3421-9
Kayıt Numarası b2f11f37-0810-4275-9c02-faaab1e2b762
Lokasyon Industrial Engineering
Tarih 2024-01-01
Notlar TÜBİTAK
Örnek Metin Natural disasters and conflicts often result in humanitarian crises, necessitating effective inventory management to meet the needs of displaced populations. This paper introduces a sophisticated simulation model tailored for disaster relief scenarios. By integrating real-world dynamics and constraints, such as perishability of goods, budget constraints, and uncertain demand, the model offers a robust framework for decision-makers in humanitarian organizations addressing post-disaster inventory management challenges. The simulation tool is open source, promoting widespread adoption and adaptation, thereby enriching the humanitarian logistics toolbox. Computational experiments are conducted to validate the simulation engine and provide valuable insights.
DOI 10.1109/WSC63780.2024.10838763
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