Aim and Scope

The Applied Innovations in Industrial Management (AIIM) is dedicated to the advancements in the field of industrial management through the publication of original research articles, case studies, and high-quality review articles that provide the basis for understanding the best practices, emerging trends, and new approaches in this field. Providing a reliable and leading source for the dissemination of new knowledge and achievements in the field of industrial management, as well as creating a suitable platform for researchers interested in the latest developments in order to exchange ideas and insights and strengthen cooperation and innovation is one of the perspectives of the publication.

Objectives of the journal
-Contributing to the development of theory and application in the field of industrial management by publishing research related to the needs of researchers, students, and managers
-Creating a scientific platform for sharing the latest findings of researchers in various fields of industrial management
-Helping industrial managers to familiarize themselves with the latest approaches in the management of industrial organizations
-Publication of articles with high potential in influencing policy and practice in the field of industrial management

The main specialized areas

Production and Operations Management
Operations Research
Decision sciences (deterministic, fuzzy, probabilistic)
Supply Chain Management
Service operations management
Quality management
Modeling and simulation
Project Management
performance management
strategic Management
Industry 4.0 and Industry 5.0

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Sub-specialized axes
Optimization techniques
Mathematical programming
design of experiments (DOE)
Metaheuristic algorithms
Regression analysis
game theory
Queuing theory
Theory of Constraints
Data Envelopment Analysis (DEA)
Logistics and transportation management
Facilities management
Smart production
Maintenance
Deployment and location issues
Reliability
Product development and innovation
Industrial health and safety management
Business process management
Industrial marketing and sales management
Strategic sourcing and procurement management
Artificial intelligence and machine learning in operations management
Inventory management and optimization
Warehouse management and distribution systems
just-in-time (JIT) production
Production planning and control
Capacity planning and management
Total Quality Management (TQM)
performance evaluation
Crisis Management
Lean Management
Six Sigma and continuous improvement