Transfer Optimization

Tools and Concepts used:

AMPL & Gurobi Optimization
OR Tools
Python

Concepts used:

Network optimization
3PL LTL, FTL Transportation
Inventory Management
Order Management

TransferOptimization_Report.pdf

The optimization problem is modeled using a mixed-integer linear programming (MILP) framework. The primary decision variables include the quantity of goods shipped using full truckload (FTL) and less than truckload (LTL) shipping methods from various warehouses to fulfill specific orders.

Top features of the model:

Multiple shipping modes with cost optimization.
Priotorzie order fulfillment and hence customer satisfaction over profits.
Inventory, transportation constraint handling.
Use of Mixed Integer Programming (MIP).
Scalability and adaptability

Future Improvements in the model:

Include multiple shipping modes (done)
Consider time-series data
Return logistics
Include speed, hours of service, and other regulatory constraints.
Connect with database (SQL)

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