Journals

  • Journal of Operations, Optimization and Industrial Analytics

    Journal of Operations, Optimization and Industrial Analytics (OPTIA) is an international peer-reviewed, open-access scholarly journal published by Sabdatama Academy. The journal provides a scientific platform for researchers, academics, professionals, and practitioners to disseminate high-quality original research, review articles, and case studies in the fields of operations research, optimization, industrial engineering, and data-driven decision making.

    OPTIA welcomes interdisciplinary research integrating mathematical modeling, computational intelligence, analytics, and engineering applications to solve complex industrial and organizational problems.

    The journal publishes original contributions in, but not limited to, the following areas:

    • Operations Research and Analysis
    • Operations Engineering and Management
    • Supply Chain Management
    • Engineering Economic Analysis
    • Industrial Analytics
    • Decision Support Systems
    • Data Analytics
    • Machine Learning for Industrial Applications
    • Artificial Intelligence for Operations and Optimization
    • Optimization Algorithms and Metaheuristics
    • Production Planning and Scheduling
    • Logistics and Transportation Systems
    • Simulation and Modeling
    • Business Analytics
    • Digital Manufacturing
    • Smart Industry and Industry 4.0

    OPTIA is committed to publishing high-quality scientific articles through a rigorous double-blind peer-review process while promoting innovation, sustainability, and evidence-based decision making in industrial and operational systems.

  • Journal of Ergonomics, Human Factors and Occupational Safety

    Journal of Ergonomics, Human Factors and Occupational Safety (ERGOS) is an international peer-reviewed, open-access scholarly journal published by Sabdatama Academy. The journal serves as a platform for researchers, academics, practitioners, and professionals to publish high-quality research that advances knowledge in ergonomics, human factors, occupational safety, and occupational health.

    ERGOS promotes interdisciplinary research focusing on the interaction between humans, technology, organizations, and work environments to improve human well-being, safety, health, productivity, and system performance. The journal welcomes theoretical, experimental, computational, and applied studies that contribute to the design of safer, healthier, and more efficient workplaces.

    The journal publishes original research articles, review papers, and case studies in, but not limited to, the following areas:

    • Ergonomics
    • Human Factors Engineering
    • Physical Ergonomics
    • Cognitive Ergonomics
    • Organizational Ergonomics
    • Work Design and Work Measurement
    • Occupational Safety
    • Occupational Health
    • Human Performance
    • Human Reliability
    • Safety Management Systems
    • Workplace Risk Assessment
    • Industrial Hygiene
    • Musculoskeletal Disorders (MSDs)
    • Workplace Well-being
    • Human-System Interaction
    • Human-Computer Interaction
    • Usability Engineering
    • Workplace Design and Evaluation
    • Safety Culture and Safety Climate

    ERGOS is committed to disseminating innovative scientific knowledge through a rigorous double-blind peer-review process while supporting the development of safe, healthy, sustainable, and human-centered work systems.

  • Journal of Product Design and Development Engineering

    Journal of Product Design and Development Engineering (PRODEV) is an international peer-reviewed, open-access scholarly journal published by Sabdatama Academy. The journal provides a platform for researchers, academics, engineers, designers, and practitioners to disseminate high-quality research in product design, engineering design, product development, manufacturing innovation, and digital engineering.

    PRODEV welcomes original research, review articles, and industrial case studies addressing innovative methods, technologies, and engineering practices throughout the product development lifecycle, from customer needs identification and conceptual design to manufacturing, validation, and product improvement. The journal emphasizes interdisciplinary approaches integrating engineering, design, manufacturing, digital technologies, and user-centered innovation.

    The journal publishes original contributions in, but not limited to, the following areas:

    • Product Design
    • Product Development
    • Engineering Design
    • Manufacturing Engineering
    • Design for Manufacturing and Assembly (DFMA)
    • Computer-Aided Design (CAD)
    • Computer-Aided Manufacturing (CAM)
    • Computer-Aided Engineering (CAE)
    • Reverse Engineering
    • Rapid Prototyping and Additive Manufacturing
    • Product Innovation
    • Design Innovation
    • Kansei Engineering
    • Quality Function Deployment (QFD)
    • Design Optimization
    • Sustainable Product Design
    • Human-Centered Product Design
    • Product Lifecycle Management (PLM)
    • Smart Product Development
    • Digital Product Development

    PRODEV is committed to publishing high-quality scientific articles through a rigorous double-blind peer-review process while promoting innovation, sustainability, manufacturability, and engineering excellence in product design and development.

  • Journal of Quality, Reliability and Continuous Improvement

    Journal of Quality, Reliability and Continuous Improvement (QURCI) is an international peer-reviewed, open-access scholarly journal published by Sabdatama Academy. The journal provides a scientific platform for researchers, academics, engineers, quality professionals, and industrial practitioners to publish high-quality research in quality engineering, reliability engineering, operational excellence, and continuous improvement.

    QURCI welcomes original research articles, review papers, and industrial case studies that contribute to improving product quality, process capability, system reliability, organizational performance, and customer satisfaction across manufacturing and service industries. The journal emphasizes scientific approaches combining statistical methods, engineering practices, operational management, and data-driven decision making for sustainable organizational excellence.

    The journal publishes original contributions in, but not limited to, the following areas:

    • Quality Engineering
    • Reliability Engineering
    • Statistical Quality Control (SQC)
    • Quality Assurance and Quality Control
    • Lean Manufacturing
    • Lean Six Sigma
    • Six Sigma
    • Total Quality Management (TQM)
    • Kaizen
    • Continuous Improvement
    • Operational Excellence
    • Process Improvement
    • Process Capability Analysis
    • Failure Mode and Effects Analysis (FMEA)
    • Statistical Process Control (SPC)
    • Design of Experiments (DOE)
    • Root Cause Analysis
    • Risk and Reliability Analysis
    • Business Process Improvement
    • Performance Measurement and Improvement

    QURCI is committed to disseminating high-quality scientific research through a rigorous double-blind peer-review process while promoting innovation, operational excellence, reliability, and continuous improvement across engineering, manufacturing, and service systems. Lean, Six Sigma, Kaizen, and TQM remain among the principal methodologies supporting operational excellence and continuous improvement in modern organizations.

  • Journal of Systems Engineering and Intelligent Applications

    Journal of Systems Engineering and Intelligent Applications (SYSIA) is an international peer-reviewed, open-access scholarly journal published by Sabdatama Academy. The journal provides a scientific platform for researchers, academics, engineers, and industry practitioners to disseminate high-quality research in systems engineering, artificial intelligence, intelligent systems, and digital transformation.

    SYSIA welcomes original research articles, review papers, and industrial case studies addressing intelligent computational methods, digital engineering, cyber-physical integration, and advanced decision-making technologies for engineering and industrial applications. The journal emphasizes interdisciplinary research integrating artificial intelligence, data analytics, automation, industrial informatics, and systems engineering to develop resilient, adaptive, and intelligent systems. Digital Twins, Cyber-Physical Systems, and Industrial IoT are increasingly recognized as key enablers of smart manufacturing and intelligent industrial operations.

    The journal publishes original contributions in, but not limited to, the following areas:

    • Systems Engineering
    • Artificial Intelligence
    • Intelligent Systems
    • Machine Learning
    • Deep Learning
    • Intelligent Decision Support Systems
    • Decision Intelligence
    • Digital Twin
    • Cyber-Physical Systems
    • Smart Manufacturing
    • Industrial Internet of Things (IIoT)
    • Industrial Informatics
    • Intelligent Automation
    • Robotics and Autonomous Systems
    • Predictive Analytics
    • Big Data Analytics
    • Intelligent Control Systems
    • Edge Computing and Cloud Manufacturing
    • Digital Transformation
    • Industry 4.0 and Industry 5.0

    SYSIA is committed to publishing high-quality scientific articles through a rigorous double-blind peer-review process while promoting intelligent technologies, digital innovation, and systems integration for sustainable industrial and engineering applications.