Recent advancements and developments in artificial intelligence (AI) based approaches
have shifted the manufacturing practices towards the fourth industrial revolution, considered …

Assistance systems have been widely adopted in the manufacturing sector to facilitate
various processes and tasks in production environments. However, existing systems are …

A literature review on the assembly design methodologies (DfA) oriented to the assembly of
large and heavy parts, reveals the need to develop a DfA methodology. In addition, the lack …

This study discusses a framework to support manufacturers in their maintenance activities
via data-driven condition monitoring and advanced visualization techniques. Moreover, the …

Recommendation systems are one area where gamification has gained popularity.
Gamification is a method for incorporating game design aspects into non-game …

[Objective] This paper addresses the influence of historical data sparsity, category
preference, and item timeliness on the performance of recommendation algorithms and …

This study evaluates the adoption of gamified recommender systems using a fuzzy logic-
enhanced multi-criteria decision-making (MCDM) approach to optimize user engagement …

Machine Learning and Recommendation Systems (RSs) have had a significant impact on
the manufacturing industry, heralding in the smart manufacturing era of Industry 4.0. An RS …

Objetivo: realizar una revisión sistemática de la literatura sobre las líneas de investigación
existentes, así como identificar las limitaciones de estudio y principales contribuciones que …

With the widespread adoption of Industry 4.0 standards and technologies in machining, the
machining processes have become increasingly more machine-centered,“smart”, and …