Aims & Scope

Aim and Scope of International Journal of Industrial engineering and production Research  

International journal of Industrial Engineering and Production Research (IJIEPR) is a scholarly open access, peer-reviewed, quarterly and fully refereed journal with a primary objective to provide the academic community and industry for the submission of new ideas, the state of the art research results and fundamental advances in all aspects of industrial engineering. The aim of this journal is to provide a platform for engineers and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of industrial engineering. The emphasis of IJIEPR is to disseminate scientific papers providing the development of mathematical models in this field. The areas of interest covered by IJIEPR include but not limited to:
 
 

• Production planning and control
• Supply chain management and logistics
• Facility Location and plant Layout
• Inventory control
• Project scheduling
• Reliability and system safety
• Application of soft computing in industrial engineering
• Statistical methods in industrial engineering
• Simulation
• Manufacturing and process planning
• Decision theory
• Production scheduling and sequencing
• Financial engineering
• Maintenance management
•  Routing and transportation planning
• Stochastic processes
•  Data mining
• Quality engineering and management
• Queuing theory
• Pricing and revenue management
• Fuzzy sets theory
• Healthcare management

Optimization Techniques	Operations Research
Operations Management	Supply Chain Management & Logistic
Safety, Security and Risk Management	Systems Modeling and Simulation
Simulation & Stochastic Models	Manufacturing Systems
Engineering Economics	Human Factors Engineering / Ergonomics
Productivity Improvement	Production Planning & Control
Computer Aided manufacturing	Material Management
Facilities Design & or Work Space Design	Flexible Manufacturing System
E-Business and E-Commerce	Decision Analysis and Methods
Information Processing & Engineering	Statistical Process Control Statistical Process Control or Quality Control
Reliability & Maintenance	Intelligent Systems
Facilities Planning and Management	Techonology and Knowledge Management
Fuzzy Metaheaurestic  Application	Global Manufacturing and Management
Statistics & Applied Probability	Project Control
Other Related Subject	Mathematical Modeling