Maturity Levels Evaluation of Smart Factories through Fuzzy Cognitive Maps
In today’s industrial environment, digital transformation is crucial for companies aiming to remain competitive and embrace smart manufacturing practices. Within this context, Maturity Models (MMs) have become valuable instruments for guiding smart evolution and ongoing improvement. Nevertheless, the effectiveness and practical use of an MM largely rely on the presence of web-based tools that present evaluation outcomes in a clear and user-friendly manner, enabling effective self-assessment or third-party evaluation. This paper introduces SM-FCM, a novel interactive web-based application designed to facilitate the implementation of an MM utilizing Fuzzy Cognitive Maps (FCMs), which helps in representing complex causal relationships between concepts. The presented platform simplifies the process of configuring model inputs, clearly shows the results of the assessment, and enables users to simulate and compare multiple scenarios with ease.
Authors
- Francesco Leotta (ORCID: https://orcid.org/0000-0001-9216-8502)
- Silvia Colabianchi (ORCID: https://orcid.org/0000-0002-1811-8619)
- Margherita Bernabei (ORCID: https://orcid.org/0000-0002-0917-0845)
- Francesco Costantino (ORCID: https://orcid.org/0000-0002-0942-821X)
- Massimo Mecella (ORCID: https://orcid.org/0000-0002-9730-8882)
- Flavia Monti (ORCID: https://orcid.org/0000-0003-3349-7861)
- Lorenzo Musilli
Institutions
- Mercatorum University (IT)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1016/j.procs.2026.02.167
- Primary Topic
- Cognitive Science and Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00