Aims and scope

Aims:

Research Annals of Industrial and Systems Engineering (RAISE) aims to be a leading platform for the dissemination of innovative research in the field of industrial and systems engineering. The journal aspires to:

  1. Foster the development of theoretical, methodological, and applied research in industrial and systems engineering.
  2. Promote interdisciplinary collaboration among researchers, practitioners, and professionals from related fields to address complex systems challenges.
  3. Advance the understanding and application of optimization, simulation, and systems thinking in improving operational efficiency, productivity, and sustainability.
  4. Encourage the integration of cutting-edge technologies and methodologies, such as artificial intelligence, machine learning, and big data analytics, into industrial and systems engineering practices.
  5. Contribute to the global discourse on sustainable development and resilience in industrial and systems engineering by highlighting innovative solutions to environmental, economic, and social challenges.

Scope:

The scope of  RAISE  includes but is not limited to the following areas:

  • Systems Optimization: Development and application of optimization models and algorithms for improving system performance, including deterministic, stochastic, and dynamic optimization approaches.
  • Production Engineering and Management: Studies on manufacturing processes, production planning and control, quality engineering, lean manufacturing, and the integration of Industry 4.0 technologies.
  • Logistics and Supply Chain Management: Research on the design, planning, operation, and optimization of supply chains and logistics systems, including transportation, warehousing, inventory management, and supply chain risk management.
  • Human Factors and Ergonomics: Investigations into the design of work environments, tools, and systems that enhance human well-being and overall system performance.
  • Sustainable Manufacturing: Exploration of practices and technologies for sustainable manufacturing, including resource efficiency, waste reduction, life cycle assessment, and circular economy principles.
  • Data Analytics and Computational Intelligence: Application of data analytics, artificial intelligence, and computational methods to solve complex industrial and systems engineering problems.
  • Systems Engineering and Integration: Research on the design, integration, and management of complex systems, addressing issues of system architecture, process improvement, and systems lifecycle management.
  • Decision Analysis and Support Systems: Development and application of decision support systems, including multicriteria decision-making, risk analysis, and simulation modeling, to facilitate complex decision-making processes.
  • Service Systems Engineering: Studies on the optimization and management of service industries, including healthcare, transportation, and hospitality, focusing on service quality, customer satisfaction, and operational efficiency.

RAISE welcomes original research articles, review papers, case studies, and innovative methodologies that contribute to the body of knowledge in these areas. The journal is committed to promoting research that not only advances the theoretical foundations of industrial and systems engineering but also demonstrates practical implications and applications in solving real-world problems.