International Journal of Simulation Modelling
Scope & Guideline
Transforming Data into Dynamic Models for Real-World Solutions
Introduction
Aims and Scopes
- Simulation Methodologies:
The journal extensively covers various simulation methodologies including discrete event simulation, agent-based modeling, and system dynamics, highlighting their application in real-world scenarios. - Optimization Techniques:
A significant focus is placed on optimization techniques used alongside simulation models to enhance decision-making processes in manufacturing, logistics, and resource management. - Industry Applications:
The journal features applications of simulation in various industries such as manufacturing, transportation, healthcare, and urban planning, demonstrating the versatility and practical implications of simulation models. - Digital Twins and IoT Integration:
Recent publications have increasingly addressed the integration of digital twin technology and the Internet of Things (IoT) into simulation models, reflecting the journal's commitment to contemporary technological advancements. - Sustainability and Environmental Impact:
The journal also emphasizes the importance of sustainable practices through simulation, providing insights into environmental impacts and optimization strategies for green logistics and manufacturing.
Trending and Emerging
- Digital Twin Technologies:
An increasing number of papers are exploring the application of digital twins in various industries, showcasing their potential for real-time monitoring and optimization of processes. - Artificial Intelligence and Machine Learning Integration:
There is a growing trend towards integrating artificial intelligence and machine learning techniques with simulation models, enhancing predictive capabilities and decision-making processes. - Sustainable and Green Practices:
Research focused on sustainability and environmental impacts is on the rise, with authors examining the role of simulation in promoting green logistics, waste management, and resource optimization. - Smart Manufacturing and Industry 4.0:
The journal is increasingly featuring studies on smart manufacturing practices and Industry 4.0 technologies, reflecting a shift towards automation and smart systems in production. - Complex Systems and Network Analysis:
Emerging themes in complex systems and network analysis indicate a trend towards understanding intricate interactions within and between systems, utilizing simulation to explore these dynamics.
Declining or Waning
- Traditional Manufacturing Processes:
Research focused on conventional manufacturing processes without the integration of advanced technologies like automation or IoT has decreased, indicating a shift towards more innovative and tech-driven approaches. - Basic Simulation Techniques:
There has been a decline in publications centered around basic simulation techniques, suggesting that authors are now favoring more complex and hybrid models that incorporate machine learning and optimization. - Standalone Simulation Models:
The prevalence of standalone simulation models that do not incorporate real-time data or feedback mechanisms has waned, reflecting a trend towards more dynamic and interactive simulation frameworks. - Non-Industrial Applications:
There is a noticeable decrease in non-industrial applications of simulation, such as those in social sciences or arts, as the journal increasingly focuses on industrial and technological applications.
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