Transportation Problem Solver
Desktop application for solving transportation optimization problems with step-by-step calculations and educational visualization of the solution process.
Overview
Transportation Problem Solver is a desktop educational application designed for solving classical transportation optimization problems.
The application combines mathematical optimization logic with a graphical user interface and explanatory output, allowing users to analyze intermediate calculations and final transportation plans in a structured form.
The project was created as an academic and demonstration-oriented utility focused on clarity, validation, and educational presentation of optimization methods.
Context
The goal of the project was to create a standalone desktop utility capable of:
- solving transportation optimization problems;
- validating matrix input data;
- visualizing intermediate calculations;
- presenting optimization steps in readable form;
- simplifying educational demonstrations of operations research algorithms.
The application was intended for coursework, laboratory work, and demonstration scenarios where transparency of calculations and usability were important.
Responsibilities
My responsibilities included:
- application architecture;
- implementation of transportation problem algorithms;
- GUI development;
- matrix input handling;
- validation logic;
- formatted educational output;
- optimization workflow visualization.
Solution
The solution was implemented as a desktop application using C# and Windows Forms.
The application allows users to:
- define suppliers, consumers, and transportation costs;
- input transportation matrices;
- calculate transportation plans;
- observe intermediate optimization steps;
- analyze resulting cost distributions.
The interface was designed to remain simple and educational while supporting structured interaction with tabular optimization data.
Technical Details
Stack
- C#
- .NET
- Windows Forms
Architecture
The project separates:
- input validation;
- matrix processing;
- optimization algorithms;
- result formatting;
- GUI interaction logic.
This structure improves maintainability and allows the computational logic to remain independent from the graphical interface.
Functionality
Implemented functionality includes:
- transportation matrix input;
- validation of supply and demand values;
- transportation cost calculations;
- generation of optimized transportation plans;
- formatted tabular result presentation;
- educational step-by-step output.
The application focuses on readability and structured visualization of optimization workflows.
Challenges
The main challenges included:
- organizing matrix-based input inside a compact desktop interface;
- validating large sets of numerical input data;
- presenting optimization calculations in readable educational form;
- balancing algorithmic complexity with user-friendly interaction.
Result
The final application successfully demonstrated:
- structured desktop application architecture;
- implementation of optimization algorithms;
- matrix-based data processing;
- educational visualization of calculations;
- user-friendly desktop workflow for operations research tasks.
The project also provided a reusable example of combining optimization logic with desktop GUI development.
Media
The gallery contains:
- matrix input examples;
- optimization workflow previews;
- resulting transportation tables and calculations.
Notes
- Educational/demo-oriented project.
- Focused on operations research and optimization algorithms.
- Desktop-oriented Windows application.
- Screenshots and examples may be anonymized for publication.