Journal of Supply Chain Engineering and Logistics Optimization

About Journal

Modern supply chains are intricate networks that rely on the seamless integration of engineering principles, logistical planning, and technological support. The Journal of Supply Chain Engineering and Logistics Optimization provides a platform for scholarly work that examines the design, management, and improvement of supply chain systems across industries and geographies.

The journal is grounded in the recognition that effective supply chains are essential to economic stability, business competitiveness, and sustainable development. In an environment shaped by global trade, evolving customer demands, and emerging technologies, the study of supply chain engineering and logistics has never been more relevant. This publication welcomes contributions that explore the entire lifecycle of supply networks, from sourcing and production to distribution and final delivery, with an emphasis on efficiency, resilience, and innovation.

We encourage submissions that address practical and theoretical questions affecting supply chains in manufacturing, retail, healthcare, agriculture, defense, energy, and other sectors. Research that incorporates modelling, simulation, data analytics, and decision-support systems is of particular interest, especially when combined with insights from operational practice.

The journal seeks work that examines both the technical and human elements of supply chain performance. This includes topics such as process optimisation, demand forecasting, transportation planning, warehouse management, supplier collaboration, risk management, and sustainable logistics practices. Contributions may also explore policy frameworks, trade regulations, and infrastructure planning that shape supply chain capabilities.

Areas of focus include, but are not limited to:

• Supply chain network design and optimisation
• Logistics system engineering and performance analysis
• Transportation and fleet management strategies
• Inventory planning and demand forecasting
• Risk assessment and supply chain resilience
• Green and sustainable logistics models
• Digitalisation of supply chain operations
• Integration of AI, IoT, and blockchain for logistics
• Human factors and organisational behaviour in supply chain management
• Multi-modal transport and infrastructure planning
• Performance measurement and benchmarking
• Supplier relationship management and collaboration models
• Reverse logistics and circular economy approaches
• Global sourcing and trade policy impacts
• Last-mile delivery systems and urban logistics solutions

Submissions may take the form of original research, analytical models, case studies, integrative reviews, or applied studies. Authors are encouraged to connect theoretical frameworks to practical applications, illustrating the real-world impact of their findings.

The journal recognises that high-quality supply chain research often draws from multiple disciplines including operations research, industrial engineering, information systems, economics, and management science. Submissions should clearly state the contribution of each perspective to the overall work.

All manuscripts undergo a double-blind peer review, with reviewers selected for their expertise in the relevant technical and managerial aspects of supply chain systems. The editorial process values clarity, methodological soundness, and relevance to the journal’s aims.

An Article Processing Charge will apply upon acceptance. Detailed information will be provided to the corresponding author after the editorial decision.

By publishing high-quality research and fostering discussion among academics, industry practitioners, and policymakers, the Journal of Supply Chain Engineering and Logistics Optimization aims to contribute to the development of efficient, resilient, and sustainable supply networks worldwide.