International Journal of Simulation Modelling

Scope & Guideline

Transforming Data into Dynamic Models for Real-World Solutions

Introduction

Welcome to your portal for understanding International Journal of Simulation Modelling, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1726-4529
PublisherDAAAM INTERNATIONAL VIENNA
Support Open AccessNo
CountryAustria
TypeJournal
Convergefrom 2005 to 2024
AbbreviationINT J SIMUL MODEL / Int. J. Simul. Model
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTU WIEN, KARLSPLATZ 13-311, VIENNA A-1040, AUSTRIA

Aims and Scopes

The International Journal of Simulation Modelling focuses on the development and application of simulation techniques in various fields, emphasizing practical implementations and theoretical advancements. The journal aims to provide a platform for researchers and practitioners to share innovative simulation models that address complex problems across diverse industries.
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
The International Journal of Simulation Modelling has shown a dynamic evolution in its thematic focus, with several emerging trends reflecting current technological advancements and societal needs. This section outlines the most prominent trending themes based on recent publications.
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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

While the journal continues to thrive in many areas, certain themes have seen a noticeable decline in focus over recent years. This section identifies those waning scopes, reflecting a shift in research interests among authors and the academic community.
  1. 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.
  2. 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.
  3. 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.
  4. 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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