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Optimization of store installation and truck routing for cost efficiency. Includes implementations for the Generalized Assignment Problem and Vehicle Routing Problem, with detailed solutions and interactive visualization

Jupyter Notebook 99.07% Python 0.88% AMPL 0.05%
generalized-assignment-problem jupyter-notebook vehicle-routing-problem ampl

optimized-store-installation-and-truck-routing's Introduction

StoreNet ๐Ÿช ๐Ÿšš

StoreNet is a program that addresses two key challenges in retail logistics: the Generalized Assignment Problem (GAP), which determines optimal store locations to minimize building costs, and the Vehicle Routing Problem (VRP), which optimizes truck routes for store restocking to minimize driving costs.

Learn More

Find the full problem description here.

Explore the solution explanation here. In solving the GAP, linear programming techniques using AMPL were employed. For the VRP, a heuristic method was utilized to achieve polynomial execution time.

An interactive Python notebook is available here, offering detailed insights into the solution process.

Plot Example

plot_example

optimized-store-installation-and-truck-routing's People

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