Scope and topics
Advances in Production Engineering & Management (APEM journal) is an interdisciplinary international academic journal published quarterly. The main goal of the APEM journal is to present original, high quality, theoretical and application-oriented research developments in all areas of production engineering and production management to a broad audience of academics and practitioners. In order to bridge the gap between theory and practice, applications based on advanced theory and case studies are particularly welcome. For theoretical papers, their originality and research contributions are the main factors in the evaluation process. General approaches, formalisms, algorithms or techniques should be illustrated with significant applications that demonstrate their applicability to real-world problems. Please note the APEM journal is not intended especially for studying problems in the finance, economics, business, and bank sectors even though the methodology in the paper is quality/project management oriented. Therefore, the papers should include a substantial level of engineering issues in the field of manufacturing engineering.

Fields of interest include, but are not limited to:

Additive Manufacturing Processes
Advanced Production Technologies
Artificial Intelligence in Production
Assembly Systems
Automation
Big Data in Production
Block Chain in Manufacturing
Computer-Integrated Manufacturing
Cutting and Forming Processes
Decision Support Systems
Deep learning in Manufacturing
Discrete Systems and Methodology
e-Manufacturing
Evolutionary Computation in Production
Fuzzy Systems
Human Factor Engineering, Ergonomics
Industrial Engineering
Industrial Processes
Industrial Robotics
Intelligent Manufacturing Systems
Inventory Management
Joining Processes
Knowledge Management
Logistics in Production
Machine Learning in Production
Machine Tools
Machining Systems
Manufacturing Systems
Materials Sciences, Multidisciplinary
Machine-to-Machine Economy
Mechanical Engineering
Mechatronics
Metrology in Production
Modelling and Simulation
Numerical Techniques
Operations Research
Operations Planning, Scheduling and Control
Optimisation Techniques
Project Management
Quality Management
Risk and Uncertainty
Self-Organising Systems
Smart Manufacturing
Supply Chain Management
Virtual Reality in Production