An Overview of the Application of Operation Research in Rescue Operations

Message:
Article Type:
Review Article (دارای رتبه معتبر)
Abstract:

The integration of advanced analytical tools and simulation models can provide deeper insights into complex rescue and relief scenarios. These tools and models enable rescue teams to analyze and predict potential challenges using real data and precise simulations. Consequently, rescue teams can develop more effective strategies to handle critical situations.Data-driven decision-making is one of the key factors in improving the performance of rescue operations. By utilizing data collected from past operations and analyzing it, patterns and trends can be identified that are effective in optimizing future operations. This approach not only helps in reducing time and costs but also enhances the quality of service delivery and the safety of operations.Collaboration between researchers and operational practitioners is also of special importance. This collaboration can ensure that theoretical and scientific advancements lead to practical and applicable improvements. Researchers can assist operational practitioners by providing new models and methods, helping them to enhance their performance using these innovations.With technological advancements, the integration of innovations such as artificial intelligence and machine learning in operational research can significantly enhance the capabilities of rescue operations. These technologies can help rescue teams analyze large and complex datasets, leading to more accurate predictions and faster decision-making. Additionally, these innovations can make rescue operations more adaptable and resilient to unexpected events.Ultimately, the importance of continued research and the development of research topics in this field for improving the rescue and relief operations system becomes clear. Ongoing research can lead to improved preparedness and performance in facing emergencies and rescue necessities. These studies can help identify the strengths and weaknesses of existing systems and provide new solutions for their improvement.

Language:
Persian
Published:
Journal of safe city, Volume:8 Issue: 29, 2025
Pages:
128 to 141
https://www.magiran.com/p2841350  
سامانه نویسندگان
  • Yeganegi، Kamran
    Corresponding Author (1)
    Yeganegi, Kamran
    Assistant Professor Industrial Engineering Department, Zanjan Branch, Islamic Azad University, زنجان, Iran
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