Aims and Scope

Aims

The Advances in Industrial Engineering (AIE) aims to publish state‑of‑the‑art, high‑quality original research and novel developments across all areas of industrial engineering, encompassing both methodological advances and practical applications in industrial and service sectors. The journal seeks to serve as a premier outlet for new knowledge that improves industrial practices, advances theoretical foundations, and strengthens the methodological base required for effective decision‑making. AIE targets an audience of academics, researchers, and practitioners in industrial engineering, systems engineering, manufacturing engineering, operations research, management science, industrial and financial management, and business, as well as professionals seeking to enhance the efficiency and effectiveness of their systems.

 

Scope

The Advances in Industrial Engineering (AIE) publishes high‑quality original papers that contribute to the theory and practice of industrial engineering. The journal’s primary focus is on quantitative and analytical modeling, including mathematical modeling and optimization techniques, applied to all areas of industrial engineering. AIE welcomes the following types of papers:

  • Theoretical and Methodological Research – containing original results that contribute to methodology and its theoretical foundations.

  • Innovative and Practical Applications – containing original, novel approaches to solving real‑world problems.

  • Invited Reviews from the Editor – containing comprehensive reviews of a specific recent period within the scope of industrial engineering.

Topics covered by the journal include, but are not limited to:

  • Business and decision analysis

  • Data science

  • Energy and environmental management/economics/policy

  • Facility location, layout, and design

  • Financial engineering and management

  • Uncertainty programming (e.g., fuzzy set theory, robust/stochastic optimization)

  • Human factors and ergonomics

  • Healthcare systems

  • Inventory management

  • Manufacturing, process/system control, and automation

  • Multi‑criteria decision making

  • Operations research (e.g., linear, integer, and nonlinear programming models)

  • Product/process design and management

  • Production planning and scheduling

  • Project/operations management

  • Pricing and revenue management

  • Quality, reliability, and maintenance engineering

  • Logistics engineering

  • Risk management

  • Service systems/management

  • Simulation and optimization

  • Soft computing

  • Supply chain management

  • Sustainability (environmental, economic, and social issues)

  • Transportation