Optimized Retail Restocking Model-Based Development Project

This repository contains the work for the Model-Based Development (4DT903) course at Linnaeus University.
The project focuses on solving real-world challenges in retail inventory management and logistics using a Model-Driven Engineering (MDE) approach.

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Project Overview

Efficient retail restocking is essential for avoiding stockouts, reducing costs, and maintaining customer satisfaction.
Our system integrates Inventory Management and Logistics Management by automating processes such as:

• 📦 Order generation – creating restocking orders automatically based on store inventory.
• 🚛 Delivery scheduling – optimizing schedules while considering vehicle capacities and delivery windows.
• 🗺️ Route optimization – generating efficient delivery routes to minimize travel time and costs.

The result: a system that improves efficiency, reduces manual effort, and ensures timely restocking.

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System Architecture

The solution is designed using metamodels and transformations:

• MM1 – Retail Store Model: Captures store location, items, and delivery windows.
• MM2 – Order Management Model: Structured orders derived from inventory data.
• MM3 – Fleet Information Model: Data about delivery vehicles (capacity, availability).
• MM4 – Delivery Constraints Model: Combines orders + fleet data to define logistics rules.
• MM5 – Distance Matrix Model: Distance and travel time data (via API or simulation).
• MM6 – Routes Model: Optimized delivery routes generated by a routing tool.

Transformations

• M2M: Model-to-Model transformations (e.g., inventory → orders, orders+fleet → constraints).
• M2T: Model-to-Text transformations (e.g., orders → JSON for APIs, routes → HTML visualization).
• T2M: Text-to-Model transformations (e.g., Maps API → Distance Matrix, Routing Tool output → Routes).

Figure 1: System architecture, showing models (MM1–MM6) and their transformations (M2M, M2T, T2M) leading to optimized delivery routes.

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Tools & Technologies

• Eclipse Modeling Framework (EMF) – for metamodels
• QVTo – for Model-to-Model transformations
• Acceleo – for Model-to-Text transformations
• Java – for Text-to-Model transformations and additional logic
• (Optional) Maps API & external Routing Optimization Tool

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Setup & Execution

1. Install Java 11+ and Eclipse IDE with:
   • EMF (Eclipse Modeling Framework)
   • QVT Operational (QVTo)
   • Acceleo