American Psychological Association 6th edition

Vitti, M., Coletta, R., Reis, J., Pinto, F., & Facchini, F. (2025). Enhancing MRP Adoption in SMEs: A Python-Based Algorithmic Approach. Procedia Computer Science, 253, 3088-3097. https://doi.org/10.1016/j.procs.2025.02.033

ISO-690 (author-date, English)

VITTI, M., COLETTA, R., REIS, J., PINTO, F.S. und FACCHINI, F., 2025. Enhancing MRP Adoption in SMEs: A Python-Based Algorithmic Approach. Procedia Computer Science. 1 Februar 2025. Vol. 253, , p. 3088-3097. DOI 10.1016/j.procs.2025.02.033.

Modern Language Association 9th edition

Vitti, M., R. Coletta, J. Reis, F. Pinto, und F. Facchini. „Enhancing MRP Adoption in SMEs: A Python-Based Algorithmic Approach.“. Procedia Computer Science, Bd. 253, Februar 2025, S. 3088-97, https://doi.org/10.1016/j.procs.2025.02.033.

Mohr Siebeck - Recht (Deutsch - Österreich)

Vitti, M./Coletta, R./Reis, J./Pinto, F.S./Facchini, F.: Enhancing MRP Adoption in SMEs: A Python-Based Algorithmic Approach., Procedia Computer Science 2025, 3088-3097.

Emerald - Harvard

Vitti, M., Coletta, R., Reis, J., Pinto, F. und Facchini, F. (2025), „Enhancing MRP Adoption in SMEs: A Python-Based Algorithmic Approach.“, Procedia Computer Science, Vol. 253, S. 3088-3097.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.