Aims and Scope

The International Journal of Supply and Operations Management (IJSOM) is a peer-reviewed international journal committed to publishing high-impact empirical and theoretical research in the fields of engineering and management. The journal encompasses all aspects related to logistics, supply chain, and operations management.

IJSOM's primary mission is to advance knowledge that enhances industrial practices and strengthens the theoretical foundations essential for sound decision-making.

 

IJSOM contains the following types of papers:

 

  • Theory and Methodology Papers – Presenting original research that contributes to methodological innovations and theoretical development.

  • Innovative Applications – Showcasing novel approaches to solving real-world problems.

  • Review Papers – Offering comprehensive overviews of recent advances in specific topics within supply and operations management, accessible to a broader audience.

  • Short Communications – Including brief reports, discussions, and commentary on previously published work.

 

The International Journal of Supply and Operations Management (IJSOM) covers, but is not limited to, the following areas:

 

  • Supply Chain Management and Logistics (Green SCM, Sustainable SCM, Agile SCM, JIT SCM, Global SCM, etc.)
  • Uncertain Decision Making (Stochastic, Fuzzy, Hybrid and etc.)
  • Transportation, Distribution and Routing
  • Manufacturing and Service Systems Design, Material Handling, Facilities Design and Planning
  • Maintenance Engineering and Management
  • Enterprise Resource Planning, Purchasing and Human Resource Management for Operations
  • Inventory Control, Scheduling, Production and Operations Planning
  • Healthcare Systems Engineering
  • Hazard and Risk Assessment and Mitigation
  • Performance Measurement and Productivity
  • Strategy Planning
  • Economics and Financial Management
  • Human Factors, Work Organization and Workforce Demographics
  • Marketing and E-marketing
  • Quality Control and Reliability Engineering
  • Project Management
  • Ergonomics in Job and Work Design
  • Queuing Theory
  • Simulation and Decision Support Systems
  • Capacity Planning and Analysis
  • Metaheuristic Algorithms and Applications in Supply Chain Management
  • Block Chain in Engineering Management
  • Computational Intelligence and Modeling
  • Statistical Process in Supply Chain Management
  • Information and Communication Technology Management
  • Artificial Intelligence and Expert System
  • Industry 4.0, Internet of Things (IoT) and Smart Manufacturing
  • Data Science, Big Data, Data Mining and Knowledge Management in Engineering Management
  • Sustainable and Smart Cities
  • Machine Learning Algorithms
  • E-government, E-commerce, E-learning
  • Applied Soft Computing in Engineering Management