Araştırma Makalesi

Disaster Resilience Assessment of Pharmaceutical Warehouses in Türkiye: A Multi-Criteria and Long Short-Term Memory-Based Approach

Cilt: 9 Sayı: 2 15 Mart 2026
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Disaster Resilience Assessment of Pharmaceutical Warehouses in Türkiye: A Multi-Criteria and Long Short-Term Memory-Based Approach

Öz

The sustainability of the pharmaceutical supply chain after disasters is critically important to ensure the continuity of healthcare services and prevent loss of life during crises. Türkiye is geographically located in a region highly susceptible to various disasters such as earthquakes, floods, landslides, and epidemics. This study aims to comprehensively evaluate the resilience of pharmaceutical warehouses, which are key components of Türkiye’s pharmaceutical supply chain, against disasters. The research adopted both static and dynamic approaches by integrating Multi-Criteria Decision-Making (MCDM) methods with Long Short-Term Memory (LSTM)-based forecasting models. Thus, while conducting an up-to-date analysis of the resilience of pharmaceutical warehouses to current risks, the study also forecasted potential future environmental burdens. In the MCDM analysis, seventeen criteria were determined under five main categories: logistics challenges, inventory management, quality control, institutional coordination, and financial capacity. The importance weights of the criteria were calculated using the AHP, Fuzzy AHP, and CRADIS methods, while the risk preparedness levels of the warehouses were evaluated through the TOPSIS and LOPCOW methods. According to experts, the most critical factors were identified as “Incorrect Drug Distribution,” “Stolen or Counterfeit Medicines,” “Inter-Institutional Communication,” and “Transportation Difficulties.” In the dynamic analysis based on the Long Short-Term Memory (LSTM) model, one- and three-layer LSTM models were trained using data on the number of disasters that occurred between 2000 and 2024 and Türkiye’s healthcare expenditures. According to the LSTM model predictions obtained at the epoch with the lowest RMSE value, it is estimated that by 2030, at least 800,000 people will be affected by disasters, and healthcare expenditures will triple compared to current levels. These findings indicate that demographic and economic growth will create a significant gap between the existing infrastructure and the increasing future burden, suggesting that even low-risk warehouses may exhibit operational vulnerabilities. In conclusion, the proposed dual approach not only provides concrete forecasts for the future but also offers a quantitative assessment of the current infrastructure’s capacity to meet these emerging demands.

Anahtar Kelimeler

Etik Beyan

Ethics committee approval was not required for this study because of there was no study on animals or humans.

Kaynakça

  1. Afsordegan, A., Sánchez, M., Agell, N., Zahedi, S., & Cremades, L. (2016). Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives. International Journal of Environmental Science and Technology, 13(6), 1419–1432.
  2. Alam, S. T., Ahmed, S., Ali, S. M., Sarker, S., & Kabir, G. (2021). Challenges to COVID-19 vaccine supply chain: Implications for sustainable development goals. International Journal of Production Economics, 239, Article 108193.
  3. Alidoost, F., Bahrami, F., & Safari, H. (2020). Multi-objective pharmaceutical supply chain modeling in disaster (Case study: Earthquake crisis in Tehran). Journal of Industrial Management Perspective, 10(3), 99–123.
  4. Alzober, W., & Yaakub, A. R. (2014). Integrating AHP application for project management. Applied Mechanics and Materials, 575, 895–899.
  5. Atkinson, M. A., Bayazit, O., & Karpak, B. (2015). A case study using the analytic hierarchy process for IT outsourcing decision making. International Journal of Information Systems and Supply Chain Management, 8(1), 60–84.
  6. Aytekin, A., Görçün, Ö. F., Ecer, F., Pamucar, D., & Karamaşa, Ç. (2023). Evaluation of the pharmaceutical distribution and warehousing companies through an integrated Fermatean fuzzy entropy-WASPAS approach. Kybernetes, 52(11), 5561–5592.
  7. Bandhu, K. C., Litoriya, R., Lowanshi, P., Jindal, M., Chouhan, L., & Jain, S. (2023). Making drug supply chain secure, traceable and efficient: A blockchain and smart contract based implementation. Multimedia Tools and Applications, 82(15), 23541–23568.
  8. Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051–13069.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Hesaplamalı İstatistik, Çok Ölçütlü Karar Verme, Endüstri Mühendisliği, Üretim ve Hizmet Sistemleri

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

15 Mart 2026

Gönderilme Tarihi

21 Ekim 2025

Kabul Tarihi

17 Şubat 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 9 Sayı: 2

Kaynak Göster

APA
Barak, M. Z., & Koç, G. G. (2026). Disaster Resilience Assessment of Pharmaceutical Warehouses in Türkiye: A Multi-Criteria and Long Short-Term Memory-Based Approach. Black Sea Journal of Engineering and Science, 9(2), 769-787. https://doi.org/10.34248/bsengineering.1808251
AMA
1.Barak MZ, Koç GG. Disaster Resilience Assessment of Pharmaceutical Warehouses in Türkiye: A Multi-Criteria and Long Short-Term Memory-Based Approach. BSJ Eng. Sci. 2026;9(2):769-787. doi:10.34248/bsengineering.1808251
Chicago
Barak, Menşure Zühal, ve Gizem Gül Koç. 2026. “Disaster Resilience Assessment of Pharmaceutical Warehouses in Türkiye: A Multi-Criteria and Long Short-Term Memory-Based Approach”. Black Sea Journal of Engineering and Science 9 (2): 769-87. https://doi.org/10.34248/bsengineering.1808251.
EndNote
Barak MZ, Koç GG (01 Mart 2026) Disaster Resilience Assessment of Pharmaceutical Warehouses in Türkiye: A Multi-Criteria and Long Short-Term Memory-Based Approach. Black Sea Journal of Engineering and Science 9 2 769–787.
IEEE
[1]M. Z. Barak ve G. G. Koç, “Disaster Resilience Assessment of Pharmaceutical Warehouses in Türkiye: A Multi-Criteria and Long Short-Term Memory-Based Approach”, BSJ Eng. Sci., c. 9, sy 2, ss. 769–787, Mar. 2026, doi: 10.34248/bsengineering.1808251.
ISNAD
Barak, Menşure Zühal - Koç, Gizem Gül. “Disaster Resilience Assessment of Pharmaceutical Warehouses in Türkiye: A Multi-Criteria and Long Short-Term Memory-Based Approach”. Black Sea Journal of Engineering and Science 9/2 (01 Mart 2026): 769-787. https://doi.org/10.34248/bsengineering.1808251.
JAMA
1.Barak MZ, Koç GG. Disaster Resilience Assessment of Pharmaceutical Warehouses in Türkiye: A Multi-Criteria and Long Short-Term Memory-Based Approach. BSJ Eng. Sci. 2026;9:769–787.
MLA
Barak, Menşure Zühal, ve Gizem Gül Koç. “Disaster Resilience Assessment of Pharmaceutical Warehouses in Türkiye: A Multi-Criteria and Long Short-Term Memory-Based Approach”. Black Sea Journal of Engineering and Science, c. 9, sy 2, Mart 2026, ss. 769-87, doi:10.34248/bsengineering.1808251.
Vancouver
1.Menşure Zühal Barak, Gizem Gül Koç. Disaster Resilience Assessment of Pharmaceutical Warehouses in Türkiye: A Multi-Criteria and Long Short-Term Memory-Based Approach. BSJ Eng. Sci. 01 Mart 2026;9(2):769-87. doi:10.34248/bsengineering.1808251

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