About this Research Topic
The field of supply chain, manufacturing, warehouse, and building evacuation optimization has seen significant advancements with the integration of artificial intelligence (AI) and simulation techniques. These technologies have revolutionized logistical operations and emergency management by enhancing efficiency, safety, and responsiveness.
Current challenges in this domain include optimizing resource allocation, reducing operational costs, and ensuring human safety during evacuations. Recent studies have demonstrated the potential of AI in automating tasks, improving layout designs, and optimizing inventory placement, leading to more streamlined operations.
However, despite these advancements, there remain gaps in fully understanding the interplay between AI-driven solutions and real-world applications. Ongoing debates focus on the scalability of AI models and their adaptability to dynamic environments. There is a pressing need for comprehensive investigations that address these challenges and explore innovative solutions to further enhance the capabilities of AI and simulation in this field.
This research topic aims to explore the optimization of supply chains, manufacturing processes, warehouse management, and building evacuations through the application of AI and simulation techniques.
The primary objectives include identifying key areas where AI can significantly impact efficiency and safety, testing hypotheses related to AI-driven optimization models, and answering critical questions about the integration of these technologies in real-world scenarios. By addressing these aims, the research seeks to provide valuable insights for academics, practitioners, and industry stakeholders.
To gather further insights in the optimization of logistical operations and emergency management using AI and simulation, we welcome articles addressing, but not limited to, the following themes:
• AI-driven resource allocation and cost reduction strategies in supply chains;
• Simulation techniques for improving warehouse layout and inventory management;
• Development of AI models for efficient building evacuation planning;
• Case studies on the implementation of AI in manufacturing processes;
• Challenges and solutions in scaling AI applications for dynamic environments;
• Comparative analyses of traditional vs. AI-based optimization methods.
Current challenges in this domain include optimizing resource allocation, reducing operational costs, and ensuring human safety during evacuations. Recent studies have demonstrated the potential of AI in automating tasks, improving layout designs, and optimizing inventory placement, leading to more streamlined operations.
However, despite these advancements, there remain gaps in fully understanding the interplay between AI-driven solutions and real-world applications. Ongoing debates focus on the scalability of AI models and their adaptability to dynamic environments. There is a pressing need for comprehensive investigations that address these challenges and explore innovative solutions to further enhance the capabilities of AI and simulation in this field.
This research topic aims to explore the optimization of supply chains, manufacturing processes, warehouse management, and building evacuations through the application of AI and simulation techniques.
The primary objectives include identifying key areas where AI can significantly impact efficiency and safety, testing hypotheses related to AI-driven optimization models, and answering critical questions about the integration of these technologies in real-world scenarios. By addressing these aims, the research seeks to provide valuable insights for academics, practitioners, and industry stakeholders.
To gather further insights in the optimization of logistical operations and emergency management using AI and simulation, we welcome articles addressing, but not limited to, the following themes:
• AI-driven resource allocation and cost reduction strategies in supply chains;
• Simulation techniques for improving warehouse layout and inventory management;
• Development of AI models for efficient building evacuation planning;
• Case studies on the implementation of AI in manufacturing processes;
• Challenges and solutions in scaling AI applications for dynamic environments;
• Comparative analyses of traditional vs. AI-based optimization methods.
Keywords: Supply Chains, Warehouse, Building Evacuation, Artificial Intelligence, Simulation Techniques
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
