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A Stochastic Programming Model for Decision-Making Concerning Medical Supply Location and Allocation in Disaster
Samad Barri Khojasteh1, Irfan Macit2
11Sakarya University,Department of Industrial Engineering,Sakarya,Turkey.
Disaster Medicine and Public Health Preparedness
|June 6, 2017
Summary
This study presents a robust stochastic programming model for optimizing medical supply location and allocation during disaster preparedness. The model effectively determines optimal storage, inventory levels, and distribution for disaster medical supplies.
Area of Science:
- Operations Research
- Public Health
- Disaster Management
Background:
- Effective disaster management requires strategic planning for medical supplies.
- Current methods may not adequately address the uncertainties associated with natural disasters.
Purpose of the Study:
- To develop and evaluate a stochastic programming model for optimizing medical supply logistics in disaster preparedness.
- To determine optimal storage locations, inventory levels, and allocation strategies for medical supplies.
Main Methods:
- A stochastic programming model was developed to address uncertainties in disaster scenarios.
- A novel classification for major earthquake scenarios was incorporated.
- The model was applied to a case study for earthquake preparedness in Adana, Turkey.
Main Results:
- The proposed model demonstrated robustness and effectiveness in optimizing medical supply management.
- Experimental evaluations confirmed the model's ability to handle disaster complexities.
- The model provides a framework for efficient resource allocation in disaster scenarios.
Conclusions:
- Stochastic programming offers a powerful approach for optimizing medical supply chains in disaster preparedness.
- The developed model is a valuable tool for enhancing readiness and response to natural disasters.
- The case study in Adana, Turkey, validates the model's practical applicability.
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