Integrating BIM in Industrial Engineering programs. A new strategy model

Abstract

The implementation of the BIM in the AEC sector, both in companies and in academic institutions, is taking place mainly through the knowledge and handling of the software that makes its implementation possible. There are several public and private initiatives that provide professionals with workshops, courses, degree programs and even master’s programmes oriented towards knowledge of the BIM methodology. These are aimed at all types of professionals, from qualified technicians to unskilled labour. In order to achieve a truly successful implementation of BIM, it is important not to focus only on the technological perspective, but to base it on the human aspects involved in the methodology. Working the skills is as important, if not the most, as using the tools. It is the attitude of the professionals that will determine a successful integration. This paper brings together research works on the state of higher education in Spain in industrial engineering programmes related to BIM and the required competencies. Educational guides and also the needs of the sector are reviewed. New roles and skills demanded are also analysed. The implementation strategies and academic barriers found when integrating BIM methodology in higher education are studied in depth. Finally, the paper presents a model proposal that includes the main lines of work to integrate BIM so that the training of future graduates will be effective for the sector.

A New Generation of ResNet Model Based on Artificial Intelligence and Few Data Driven and Its Construction in Image Recognition Model

“…Therefore, the development of open, standardized, and intelligent [ 3 ] green tea classifications and identification methods is an inevitable trend. New classification and assessment methods for green tea have been emerging, such as physicochemical review methods [ 4 , 5 ], fingerprinting assessment methods [ 6 , 7 ], intelligent sensory review methods [ 8 , 9 ], and infrared spectral imaging technology detection methods [ 10 , 11 ], but these methods have their limitations to a certain extent, such as relevant instruments and cumbersome and complicated operations, and most of them are based on the overall tea leaves. It is necessary to propose an objective, simple, fast, and low-cost method for green tea classification, since most of them are based on the whole tea leaves for review, which requires specific and time-consuming requirements.…”