Aims and scope
Advances in Operations Research and Production Management (AORPM) is an open-access, peer-reviewed irregular journal hosted by Center of Management Case Studies, Beijing University of Technology and published by EWA Publishing. The journal bridges standardized theoretical modeling and factory industrial practice in operations research and production management, gathering insights from global management scholars, policy analysts and manufacturing practitioners, focusing on high-standard normative research with systematic scientific value, industrial decision-making reference value and full-chain industrial empowerment value, and provides data-driven modeling tools and full-chain upgrading decision references for management teachers, factory operation directors and supply chain consultants to exert the industrial decision-making value of operation research.
Covering management science, mathematical statistics, industrial engineering and intelligent manufacturing, it publishes standardized theoretical models and normative methodological researches on operational optimization, applied mathematics and project management. It integrates systematic achievements in statistical modeling, industrial engineering and intelligent operation research. All papers follow strict academic norms and complete logical chains, supplying reliable theoretical foundations, data-driven decision tools and feasible management schemes for factory operation optimization, production efficiency improvement and systematic industrial engineering governance.
Centered on efficient publishing and high-standard peer review, AORPM delivers streamlined international publishing services, supporting sustained academic accumulation and production practice upgrading in operations research and industrial management.
Scopes include but are not limited to:
Management Science
- Operations Research
- Linear Programming
- Nonlinear Programming
- Reliability Engineering
- Management Science & Engineering
- Project Management
Mathematics & Statistics
- Pure Mathematics
- Applied Mathematics
- Statistics
- Data Science
- Financial Mathematics
Industrial Engineering
- Human Factors Engineering
- Systems Engineering
- Production Management
- Inventory Management
- Logistics Engineering
- Supply Chain
Intelligent Engineering
- Artificial Intelligence
- Robotics Engineering
- Smart Grid
- Intelligent Manufacturing
- Computational Science
AORPM sincerely invites and welcomes scholars from around the world to share their research accomplishments.
