Here are some potential topics for a final project in Logistics Engineering. These ideas focus on current trends and challenges in the field:
- Optimizing Last-Mile Delivery Using AI and IoT
Develop a model to minimize costs and delivery times while considering customer preferences and environmental impact. - Blockchain Technology in Supply Chain Transparency
Analyze the role of blockchain in improving supply chain security, traceability, and fraud prevention. - Dynamic Routing in Smart Cities
Create algorithms for dynamic vehicle routing to minimize congestion and fuel consumption in urban logistics. - Sustainable Logistics: Carbon Footprint Reduction Strategies
Investigate strategies to reduce emissions in the supply chain, such as green warehouses or eco-friendly transportation modes. - Warehouse Automation with Robotics
Examine how robotic systems can improve efficiency, accuracy, and safety in warehouses. - Data-Driven Decision-Making in Inventory Management
Explore machine learning techniques for optimizing inventory levels and reducing holding costs. - Cold Chain Logistics Optimization
Study the challenges and solutions for maintaining the integrity of temperature-sensitive products during transportation. - Disaster Relief Logistics Planning
Develop models for efficient resource allocation and transportation in emergency scenarios. - Reverse Logistics and Circular Economy
Investigate methods to enhance product returns, recycling, and reusability within a circular economy framework. - Integration of Drones in Logistics Networks
Analyze the feasibility and efficiency of using drones for inventory monitoring and parcel delivery. - Digital Twins in Logistics
Explore the use of digital twin technology to simulate and optimize supply chain operations. - Global Supply Chain Resilience Post-Pandemic
Study the impact of disruptions on supply chains and propose strategies for building resilience. - AI-Powered Demand Forecasting
Implement AI models to improve accuracy in predicting product demand under various market conditions. - Multi-Modal Transport Optimization
Investigate the integration of road, rail, sea, and air transportation to reduce costs and improve efficiency. - Crowdsourced Delivery Models
Evaluate the impact of crowdsourcing on delivery speed, cost, and customer satisfaction. - Cybersecurity in Logistics Systems
Examine risks and mitigation strategies for protecting logistics data from cyber threats. - Smart Packaging Solutions
Design intelligent packaging systems that enhance product safety and provide real-time tracking. - Predictive Maintenance in Fleet Management
Use predictive analytics to minimize downtime and maintenance costs for logistics vehicles. - Impact of Government Policies on Logistics Networks
Analyze how regulations, tariffs, or subsidies affect logistics operations and propose adaptive strategies. - AI in Supplier Relationship Management
Explore AI-driven approaches to enhance supplier performance, risk assessment, and collaboration.
