About the Journal

 

OPTIA Cover Journal of Operations, Optimization and Industrial Analytics (OPTIA) is an international, peer-reviewed, open-access scientific journal published by Sabdatama Academy. The journal serves as a scholarly platform for researchers, academics, professionals, and practitioners to disseminate high-quality original research articles, review papers, and case studies in the fields of operations research, optimization, industrial engineering, and data-driven decision making. All submitted manuscripts undergo a rigorous double-blind peer-review process to ensure scientific quality, originality, and academic integrity.

OPTIA aims to promote the advancement of knowledge and innovation by encouraging interdisciplinary research that integrates mathematical modeling, computational intelligence, analytics, and engineering applications to address complex industrial and organizational challenges. The journal welcomes manuscripts from researchers worldwide and invites contributions that provide theoretical developments, methodological innovations, and practical applications.

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

  1. Operations Research and Analysis
  2. Operations Engineering and Management
  3. Supply Chain Management
  4. Engineering Economic Analysis
  5. Industrial Analytics
  6. Decision Support Systems
  7. Data Analytics
  8. Machine Learning for Industrial Applications
  9. Artificial Intelligence for Operations and Optimization
  10. Optimization Algorithms and Metaheuristics
  11. Production Planning and Scheduling
  12. Logistics and Transportation Systems
  13. Simulation and Modeling
  14. Business Analytics
  15. Digital Manufacturing
  16. Smart Industry and Industry 4.0

OPTIA is committed to publishing high-quality scientific research that contributes to the development of industrial systems, operational excellence, sustainability, and evidence-based decision making across academia and industry.