Hello, fellow researchers and professionals!
I am a logistics and supply chain management student, eager to deepen my technical knowledge and practical skills in the field. I'm particularly interested in hands-on projects that address real-world challenges, such as optimizing last-mile delivery, improving warehouse efficiency, or leveraging data analysis for better inventory forecasting.
I would greatly appreciate your insights, ideas, or recommendations for project topics that could help me enhance my understanding of logistics and supply chain processes. Suggestions involving tools like Python, Excel, simulation software, or even case studies are highly welcome!
Thank you in advance for your valuable contributions. I look forward to learning from your expertise!
Last-Mile Delivery Optimization
- Route Optimization with Python: Use algorithms like Dijkstra's or A* to find optimal delivery routes. Incorporate tools like Google Maps API or OpenStreetMap for real-world applicability.
- Drone/Autonomous Vehicle Delivery Models: Simulate last-mile delivery scenarios using drones or autonomous vehicles in tools like AnyLogic or Simio.
- Dynamic Delivery Slot Pricing: Develop a model to adjust delivery time slot pricing based on customer demand and operational constraints.
Tools
- Python Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, and PuLP (for optimization).
- Simulation Software: AnyLogic, Arena, Simio.
- Excel: For Solver-based optimization, dashboards, and initial modeling.
- Power BI or Tableau: For visualization and reporting.
Data Analysis Projects
- Supply Chain KPI Dashboard: Create a dashboard in Power BI or Tableau to monitor key metrics like order accuracy, OTIF (On-Time In-Full), and inventory turnover.
- Sentiment Analysis for Supplier Risk: Use NLP techniques in Python to analyze supplier reviews and identify potential risks.
- Big Data Analytics in Logistics: Explore case studies or build models leveraging big data tools like Hadoop or Spark.
Supply Chain Collaboration and Supplier Management
- Objective: Improve collaboration with suppliers to enhance supply chain performance.
- Tools: Excel, Python, simulation software.
- Approach: Analyze the current supplier relationship management practices. Develop a supplier evaluation and selection model using criteria like quality, cost, delivery, and sustainability. Use simulation to test the impact of different supplier collaboration strategies on supply chain performance.
Hallo Annas
as my experience as a professional in supply chain especially in focus on inventory management, the first think you need to know and learn is flow process of supply chain it self. Just pick one topic, maybe fertilizer or sparpart material, from first mile until last mile,
1. Procurement Aspect > kind of Letter of Creedits etc
2. Shipping > Incoterms , BL
3. Customs
4. Inland Transportation > Truck, 40 feets or 20 feets,..
5. Warehousing > Inbound , handling , outbound
Sincerely
Faishal
A logistics student should work on projects like inventory optimization, last-mile delivery solutions, warehouse automation, green logistics, demand forecasting, blockchain in supply chains, reverse logistics, route optimization, cold chain management, and AI-driven supply chain analytics.
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