About the Journal

The Journal of Engineering in Industrial Applications (JOEIIA) is an international, peer-reviewed journal dedicated to publishing high-quality original research, review articles, and industrial case studies that advance engineering science and its practical applications. The journal serves as a platform for researchers, academicians, industry professionals, and practitioners to disseminate innovative solutions addressing current and emerging industrial challenges. It promotes interdisciplinary research that bridges theoretical developments with real-world industrial implementation, fostering technological innovation, sustainability, and operational excellence.

The journal welcomes submissions in, but is not limited to, the following areas:

  • Industrial Engineering and Systems Engineering
  • Manufacturing Engineering and Smart Manufacturing
  • Industry 4.0 and Industry 5.0 Technologies
  • Artificial Intelligence and Machine Learning in Engineering
  • Industrial Automation, Robotics, and Control Systems
  • Internet of Things (IoT) and Cyber-Physical Systems
  • Digital Twin and Intelligent Manufacturing
  • Operations Research and Optimization
  • Supply Chain, Logistics, and Production Management
  • Quality Engineering, Reliability, and Six Sigma
  • Industrial Data Analytics and Decision Support Systems
  • Sustainable Manufacturing and Green Engineering
  • Renewable Energy and Industrial Energy Management
  • Materials Engineering and Advanced Manufacturing Processes
  • Mechanical, Electrical, Electronics, and Mechatronics Engineering Applications
  • Computer-Aided Design (CAD), Computer-Aided Manufacturing (CAM), and Simulation
  • Industrial Safety, Risk Assessment, and Maintenance Engineering
  • Additive Manufacturing (3D Printing)
  • Human-Machine Interaction and Smart Factory Technologies
  • Engineering Management, Innovation, and Technology Transfer

The journal encourages contributions that demonstrate practical industrial impact, experimental validation, prototype development, computational modeling, and emerging engineering technologies that enhance productivity, efficiency, sustainability, and digital transformation across industrial sectors.