https://github.com/stefagnone/-optimization-model-for-lavazza-s-logistics-network

Predictive optimization model designed to improve logistics efficiency for Lavazza by identifying cost-effective warehouse locations and distribution strategies, ultimately saving 15% on transportation costs.
https://github.com/stefagnone/-optimization-model-for-lavazza-s-logistics-network

business-modeling cost-reduction data-science excel lavazza logistics-optimization scenario-analysis sensitivity-analysis supply-chain-efficiency warehouse-optimization

Last synced: 23 days ago
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Predictive optimization model designed to improve logistics efficiency for Lavazza by identifying cost-effective warehouse locations and distribution strategies, ultimately saving 15% on transportation costs.

• Host: GitHub
• URL: https://github.com/stefagnone/-optimization-model-for-lavazza-s-logistics-network
• Owner: stefagnone
• Created: 2024-11-14T16:35:49.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-12-05T09:51:47.000Z (about 1 month ago)
• Last Synced: 2024-12-05T10:30:48.990Z (about 1 month ago)
• Topics: business-modeling, cost-reduction, data-science, excel, lavazza, logistics-optimization, scenario-analysis, sensitivity-analysis, supply-chain-efficiency, warehouse-optimization
• Homepage:
• Size: 2.53 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Project Overview

This project involved developing an optimization model to enhance the logistics network for Lavazza, a leading global coffee producer. The objective was to identify cost-saving opportunities by re-evaluating the network structure and considering the introduction of a satellite warehouse. The model analyzed various scenarios to determine the optimal warehouse configuration, aiming to reduce transportation costs by over 15%.

The analysis focused on:

- Assessing Lavazza’s existing logistics network and identifying inefficiencies.

- Utilizing optimization techniques to evaluate the impact of adding a satellite warehouse.

- Providing actionable insights to improve Lavazza’s operational efficiency and customer satisfaction.

## Technologies Used

- **Microsoft Excel**: Used for building the optimization model, performing scenario analysis, and visualizing results.

- **PowerPoint**: Created a business-oriented presentation to summarize findings, methodology, and recommendations.

## Repository Structure

- `Data/`: Contains logistics data utilized for the optimization model and cost analysis.

- `Output/`: Includes the final report(`Lavazza Case.pdf`) and presentation file.

## Key Insights

- Introducing a satellite warehouse could reduce Lavazza's logistics costs by approximately 15.36%.

- The optimization model identified Warehouse 4 as the most cost-effective location for the satellite warehouse, resulting in minimized total logistics costs.

- The analysis revealed that switching from less-than-truckload (LTL) to full-truckload (FTL) in specific routes could significantly reduce overall expenses.

## Instructions

1. Clone this repository.

2. Review the logistics data and optimization model details in `Data/`.

3. Open and review the final presentation in `Output/Lavazza Case.pdf` for detailed analysis and business recommendations.

4. Examine the Excel model (`Final_Output_Excel.xlsx`) to understand the scenario analysis and cost-saving calculations.

## Contact

Connect with me on [LinkedIn](https://www.linkedin.com/in/stefano-compagnone98/) for more information or explore my other projects on GitHub.