Transportation Problem inOperations
Research
Optimizing Logistics and Costs
Presented by: [Kavya Sagar]
2.
Introduction
• A specialtype of Linear Programming Problem (LPP).
• Involves transporting goods from sources to destinations at
minimal cost.
• Essential in logistics, supply chains, and resource allocation.
3.
Problem Definition
• Objective:Minimize transportation cost.
• Constraints: Meet supply and demand at each node.
• Components: Sources, Destinations, and Cost Matrix.
Real-Life Applications
• Logisticsand Freight Distribution
• Humanitarian Aid Logistics
• Retail Chain Supply Distribution
• Healthcare Delivery Networks
11.
Advantages and Limitations
Advantages:
•Minimizes cost
• Streamlines decision-making
Limitations:
• Assumes constant unit costs
• Doesn’t consider route delays or dynamic changes
12.
Conclusion
• Transportation problemaids cost optimization in logistics.
• Initial solutions using NWCR, LCM, and VAM are foundational.
• Useful in real-world decision-making across industries.
13.
References
• Operations Researchby Kanti Swarup
• Taha: Operations Research – An Introduction
• NPTEL, ResearchGate, MIT OpenCourseWare