Aims

The Journal of Engineering Management and Systems Engineering (JEMSE) is a forward-thinking publication that stands at the forefront of bridging engineering management with systems engineering. It distinguishes itself by diving deep into the multifaceted layers of these fields, underscoring their crucial role in driving innovation and efficiency in the broader engineering landscape. JEMSE's mission is to provide a dynamic forum for the exchange of groundbreaking ideas and methodologies, spotlighting the intricate interplay between management strategies and systems engineering solutions. The journal aims to reshape conventional understanding and practices, fostering a dialogue that spans from theoretical advancements to actionable engineering applications.

JEMSE is committed to advancing the knowledge frontier in engineering management and systems engineering. It invites contributions that challenge existing paradigms and introduce novel approaches to engineering problems. The journal prioritizes in-depth exploration and rigorous analysis, ensuring that each publication not only adds to the academic discourse but also has practical relevance in the real world.

Key features of JEMSE include:

• A strong emphasis on integrating systems engineering methodologies with advanced management practices across industrial sectors;

• A focus on bridging theoretical frameworks and real-world engineering applications for innovation and efficiency;

• Encouragement of interdisciplinary studies combining technology, management science, and decision analytics;

• Promotion of sustainable, data-driven, and human-centered approaches in engineering systems development;

• A commitment to advancing methodologies that enhance reliability, performance, and organizational resilience.

Scope

JEMSE welcomes theoretical, empirical, and applied research that advances knowledge at the intersection of engineering management and systems engineering. The journal’s scope spans a wide range of topics including, but not limited to:

• Engineering Systems Design and Integration

  Research on modeling, optimization, and coordination of multi-component engineering systems, emphasizing architecture design, interoperability, and system integration across industries.

• Systems Thinking and Decision Analytics

  Analyses of systems approaches and analytical tools that improve decision-making, adaptability, and organizational performance in engineering environments.

• Project, Program, and Portfolio Management

  Comprehensive studies on project governance, scheduling, budgeting, risk management, and resource allocation for large-scale and distributed engineering projects.

• Digital Transformation and Smart Engineering Technologies

  Explorations of how digitalization, AI, IoT, robotics, and digital twins transform engineering design, monitoring, and control within modern industries.

• Complex Systems Modeling and Simulation

  Development of computational models, agent-based simulations, and system dynamics frameworks for predicting system behavior and performance under uncertainty.

• Sustainability and Life-Cycle Engineering

  Studies focusing on sustainable infrastructure, circular economy integration, environmental impact reduction, and energy-efficient system design throughout the life cycle.

• Reliability, Quality, and Safety Engineering

  Innovative methodologies for reliability analysis, quality assurance, and risk-based design to improve the robustness and safety of engineering systems.

• Human Factors, Ergonomics, and Leadership

  Research addressing the human dimension of systems engineering, including cognitive ergonomics, team dynamics, leadership models, and organizational resilience.

• Industrial Systems, Logistics, and Supply Chain Optimization

  Investigations into the optimization of production systems, logistics networks, and supply chains through system modeling, lean principles, and intelligent control.

• Economic and Policy Dimensions of Engineering Systems

  Studies analyzing cost optimization, financial modeling, and policy frameworks that shape the management and regulation of engineering projects.

• Cyber-Physical and Socio-Technical Systems

  Examinations of the integration of physical systems with information technologies, emphasizing security, adaptability, and human-technology interaction.

• Education, Training, and Knowledge Management

  Innovative approaches to systems thinking education, professional competency development, and organizational learning in engineering management.

• Case Studies and Real-World Applications

  Empirical studies demonstrating practical applications, best practices, and lessons learned from the implementation of engineering management and systems methodologies.