Innovative Applications of Multi-Criteria Decision Analysis in Industry 4.0 and Digital Transformation

Dear Colleagues,

Multi-Criteria Decision Analysis (MCDA) techniques have been successfully applied to a wide range of real-world problems across various fields, including logistics, finance, environmental management, diagnostics, and technology selection. However, the ongoing transformation driven by Industry 4.0—characterized by advances in data integration, smart devices, knowledge-based systems, innovation, and digital management—has introduced emerging concepts and decision-making scenarios where MCDA remains underutilized. The increasing digitalization and interconnectedness of economic units highlight a pressing need to incorporate robust decision-support tools such as MCDA.

A parallel transformation is occurring in education, with a marked shift toward e-learning, web-based platforms, and digital asset management in industrial contexts. These evolving domains present new challenges and opportunities for the application of MCDA methodologies.

This Special Issue aims to explore and promote the integration of MCDA techniques in these newly emerging or rapidly evolving areas. Contributions that employ hybrid approaches, incorporate fuzzy logic, or support group decision-making processes are particularly welcome. Submissions showcasing lesser-known or novel MCDA methods that offer improvements over traditional approaches are also encouraged.

We invite papers that address applications of MCDA in areas such as Industry 4.0, the Internet of Things (IoT), Big Data, e-education, and other domains experiencing substantial transformation—especially those where MCDA techniques have yet to be widely adopted.

Prof. Dr. Javier Martínez-Gómez
Guest Editor

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