🌍 Sustainability KPIs Constraint Optimization Model ♻️

A constraint programming model in Minizinc which aims at maximizing the score of a series of environmental KPIs of a company, while making sure given production constraints are satisfied (e.g.: minimum earnings are achieved; production times are respected).

The program has been implemented in such a way that it can be customized for different types of companies and production goals. In particular the user is asked to input a series of business related parameters, which are then considered for satisfying the constraints and in the concurring KPIs maximization task.

Repository structure

.
├── data
│   └── input_example.dzn   # Input data example describing a paper production company
├── report                       
│   └── report.pdf          # Report about the project 
├── .gitattributes
├── .gitignore
├── LICENSE
├── README.md
├── constants.mzn           # MiniZinc file defining the constants parameters of the model 
├── constraints.mzn         # MiniZinc file defining the constraints of the model
├── functions.mzn           # MiniZinc file defining useful functions for the model
├── main.mzn                # MiniZinc file containing the model definition
├── parameters.mzn          # MiniZinc file defining the input parameters of the model
└── variables.mzn           # MiniZinc file defining the variables  of the model

Usage

• Download the Minizinc IDE: https://www.minizinc.org/ide/;
• Download this repository and open the project with the Minizinc IDE;
• Open the main.mzn file and run the Minizinc IDE;
• Either provide the requested input data manually, or use the example file in ./data/input_example.dzn or create a new .dzn file with personalized information about the company.

Specifics

The program has been tested with the solver Gecode 6.3.0 because of its general purpose characteristics.

Versioning

Git is used for versioning.

Group members

Name	Surname	Email	Username
Facundo Nicolas	Maidana	[email protected]	maidacundo
Riccardo	Spolaor	[email protected]	RiccardoSpolaor
Stefano	Ciapponi	[email protected]	drchapman-17

License

This project is licensed under the MIT License - see the LICENSE file for details.

Social preview image licensed by Nature Vectors by Vecteezy.