Journal of Optimization and Supply Chain Management (JOSCM) is a scholarly peer-reviewed international scientific journal and is committed to publishing scholarly empirical and theoretical research articles that have a high impact on the Engineering & Management field as a whole. All aspects of the subject in relation to Optimization, Logistics, Supply and Operations Management are covered. The ultimate objective of the journal is to disseminate knowledge for improving industrial practice and to strengthen the theoretical base necessary for supporting sound decision making.

JOSCM contains the following types of papers:

• Theory and Methodology Papers, presenting original research results contributing to the methodology and to its theoretical foundations
• Innovative Applications, describing novel ways to solve real problems
• Review Papers, explaining to the general audience the developments in Supply and Operations Management topic over the recent years
• Short Communications, including comments on papers previously published

The Journal of Optimization and Supply Chain Management (JOSCM) has been covered (but 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
• Economics and Financial Management
• Human Factors, Work Organization and Workforce Demographics
• Quality Control and Reliability Engineering
• Project Management
• Ergonomics in Job and Work Design
• Queuing Theory
• Capacity Planning and Analysis
• Metaheuristic Algorithms and Applications in Supply Chain Management
• Block Chain in Engineering Management
• Statistical Process in Supply Chain Management