International Journal of Mathematical Engineering and Management Sciences
Scope & Guideline
Fostering Collaboration for a Brighter Future in Science and Management.
Introduction
Aims and Scopes
- Mathematical Modeling and Analysis:
The journal emphasizes the development and application of mathematical models to analyze complex systems and phenomena across various fields. - Optimization Techniques:
A core area of focus is the implementation of optimization methods to improve processes, resource allocation, and decision-making in engineering and management. - Interdisciplinary Research:
The journal encourages interdisciplinary approaches that combine mathematics, engineering, information technology, and management sciences to address contemporary challenges. - Sustainable Development:
Research that explores sustainable practices and technologies, particularly in supply chain management, energy systems, and environmental engineering, is prominently featured. - Artificial Intelligence and Machine Learning Applications:
The integration of AI and machine learning techniques in engineering and management problems is a significant theme, reflecting the journal's commitment to modern technological advancements.
Trending and Emerging
- Blockchain Technology in Supply Chain Management:
There is an increasing focus on the integration of blockchain technology within supply chains, showcasing its potential to enhance transparency, security, and efficiency. - Artificial Intelligence and Data Analytics:
The application of AI and data analytics is trending, particularly in areas such as predictive modeling, risk assessment, and decision support systems. - Sustainable Practices and Circular Economy:
Research emphasizing sustainability and circular economy principles is gaining attention, particularly in sectors like agriculture and manufacturing. - Smart Technologies and IoT:
The rise of smart technologies and IoT applications in various domains, including healthcare and supply chains, is becoming a significant theme in recent publications. - Robustness and Resilience in Systems Engineering:
Emerging studies are increasingly focusing on the robustness and resilience of systems, especially in the context of risk management and disaster recovery.
Declining or Waning
- Traditional Statistical Methods:
There has been a noticeable decrease in the publication of papers relying solely on traditional statistical techniques, as more innovative and computational methods gain traction. - Purely Theoretical Research:
Research that does not apply mathematical theory to practical, real-world problems is becoming less frequent, indicating a shift towards more applied research. - Single-Domain Studies:
Papers that focus exclusively on narrow, single-domain issues without interdisciplinary collaboration are waning in favor of more comprehensive, cross-disciplinary studies.
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