SIMULATION MODELLING PRACTICE AND THEORY
Scope & Guideline
Transforming Theory into Practice in Simulation Modeling.
Introduction
Aims and Scopes
- Simulation Methodologies:
The journal publishes research on diverse simulation methodologies, including discrete-event simulation, agent-based modeling, and hybrid approaches, aimed at resolving complex problems across various fields. - Application in Transportation Systems:
A significant focus is placed on transportation-related simulations, including traffic flow, public transportation systems, and evacuation modeling, to improve safety and efficiency. - Integration with Emerging Technologies:
The journal explores the integration of simulation with emerging technologies such as machine learning, IoT, and cloud computing, highlighting innovative applications that enhance predictive capabilities and system performance. - Healthcare and Emergency Management:
Research related to healthcare processes, emergency evacuations, and crisis management is emphasized, showcasing simulations that support planning and operational decisions in critical situations. - Energy and Resource Management:
The journal covers simulation studies related to energy-efficient systems, cloud computing resource allocation, and optimization strategies for sustainable practices.
Trending and Emerging
- AI and Machine Learning Integration:
There is a growing trend towards integrating artificial intelligence and machine learning techniques into simulation frameworks, enhancing predictive modeling and decision support in various applications. - Digital Twins and Cyber-Physical Systems:
The concept of digital twins is increasingly prevalent, with studies focusing on creating virtual representations of physical systems for real-time monitoring and optimization, particularly in manufacturing and urban planning. - Smart Transportation and Mobility Models:
Innovative simulation approaches addressing smart transportation systems, including autonomous vehicles and connected infrastructure, are on the rise, reflecting the industry's focus on enhancing mobility solutions. - Sustainability and Resource Optimization:
Emerging research emphasizes sustainability, with simulations aimed at optimizing energy consumption, resource allocation, and environmental impacts in various contexts, including urban planning and industrial processes. - Healthcare Simulation Innovations:
There is an increasing emphasis on simulations that enhance healthcare delivery, including patient flow modeling, emergency response strategies, and resource optimization in healthcare settings.
Declining or Waning
- Traditional Manufacturing Simulations:
There has been a noticeable decrease in the focus on traditional manufacturing process simulations, which were once prevalent. This shift may reflect the industry's move towards more integrated and automated processes that require different modeling approaches. - Basic Traffic Simulation Models:
While traffic simulation remains a core area, simpler models that do not incorporate advanced technologies or methodologies are becoming less common, as the field emphasizes more complex, data-driven approaches. - Static Resource Allocation Models:
Research centered around static resource allocation in computing environments is waning, as the focus shifts towards dynamic and adaptive strategies that better reflect real-world variations and uncertainties.
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