A desktop application that uses the Grey Wolf Optimizer (GWO) to help plan clothing production.

The user enters product data, production constraints, and algorithm settings. The application then recommends the best production quantities while balancing profit, pollution, time, resources, and demand limits.

The main objectives of this project are:

Maximize total profit

Minimize production time

Minimize resource usage

Minimize environmental impact

-> Respect product demand limits

-> Provide clear production recommendations through a graphical interface

In a clothing factory, the manager must decide how many units of each product to produce.

For example:

T-shirts

Pantalons

Hoodies

Each product has different values:

profit per unit

pollution per unit

production time

resource usage

demand limit

The objective is to find the best production plan while respecting the available production time, available resources, and product demand.

This project solves that problem using a metaheuristic optimization algorithm called Grey Wolf Optimizer.

The application uses the Grey Wolf Optimizer, inspired by the hunting behavior and hierarchy of grey wolves.

The algorithm ranks solutions as:

Role Meaning Alpha Best solution Beta Second-best solution Delta Third-best solution Omega Remaining solutions

Each wolf represents a possible production plan.