Limitations of transportation models include assumptions of constant supply and demand, disregarding real-world complexities, and potential challenges in handling large-scale problems.

Here are the limitations of OR Transportation Models: Assumption of Linearity, Static Nature, Constant Supply and Demand, Binary Solution, Single Objective Function, etc.

Here's Some of Limitation of Tranpo Models 

1. Simplifying Assumptions: Models make simplifications that may not reflect real-world complexities.
2. Static Nature: Assumptions of constant parameters might not match dynamic real-world conditions.
3. Limited Scope: Models often focus on cost, ignoring time, preferences, and disruptions.
4. Data Dependency: Accurate and updated data is crucial for effective model implementation.
5. Large-Scale Complexity: Complexity increases with more sources, destinations, and products.
6. Solution Interpretation: Optimal solutions might be challenging to interpret practically.
7. Competing Objectives: Balancing multiple goals can be difficult for transportation models.
8. Ignored Constraints: Some constraints like capacity limits might be overlooked.
9. Human Factors: Human expertise and unexpected events may not be adequately considered.
10. Implementation Costs: Model development and maintenance involve costs.
11. Optimal Solution Limitations: Optimal solutions might not always be feasible or practical.
12. Complex Real-World Scenarios: Real-world networks can be intricate, challenging to model accurately.

Transportation models, commonly used in operations research and logistics, are mathematical techniques that help optimize the distribution of goods and resources from multiple sources to multiple destinations