The Journal of Operations Research and Strategic Analytics (OPRES) is an international, peer-reviewed scholarly journal dedicated to advancing research and applications in operations research, data analytics, and intelligent decision-making. The journal provides a multidisciplinary platform for the publication of high-quality theoretical, methodological, and applied studies that address complex analytical and managerial challenges in modern organizations and society.

OPRES focuses particularly on the integration of operations research methodologies and data analytics techniques to support effective, evidence-based, and strategic decision-making. The journal promotes innovative research in optimization, mathematical modeling, simulation, forecasting, machine learning, business analytics, artificial intelligence, and decision support systems, with emphasis on their practical implementation and real-world impact.

The journal welcomes original contributions that develop advanced analytical models, quantitative methods, and data-driven frameworks for solving problems in areas such as supply chains, transportation, healthcare, energy systems, finance, manufacturing, sustainability, and public policy. Special attention is given to studies that combine rigorous analytical foundations with practical relevance, managerial insights, and strategic implications.

OPRES serves as a forum for researchers, academics, practitioners, and policy-makers working at the intersection of operations research, analytics, and digital transformation. The journal publishes original research articles, review papers, methodological contributions, and applied case studies across disciplines including management science, industrial engineering, computer science, economics, and information systems.

All submitted manuscripts undergo a rigorous double-blind peer-review process to ensure scientific quality, originality, and relevance. Through fostering interdisciplinary collaboration and methodological innovation, the Journal of Operations Research and Strategic Analytics aims to contribute to the development of advanced analytical solutions for sustainable, intelligent, and data-driven decision-making in a rapidly evolving world.