ARTÍCULO
TITULO

USING PRODUCTIVITY OF LABORUM INFORMATION AND COMPUTER SIMULATIONS IN THE CLASSROOM

Julio Baeza Pereyra    
Romel Solís Carcaño    
Carlos Arcudia-Abad    

Resumen

At the School of Engineering of the Autonomous University of Yucatan, the use of computers in teaching to undergraduatestudents is mostly oriented to budgeting and to structural analysis tasks. Also the curricula does not emphasizes aspects offield productivity data acquisition, nor the observation of the construction field dynamics. This paper presents the structureof a degree level course designed specifically to teach civil engineering students on how to combine the concepts ofproductivity recording and computer simulation. The main goal of this course is that the students get the knowledge on howto use the currently available tools and methods for making realistic estimation of field work duration and cost. This courseis divided in four parts. In the first part, the students learn how to use the simulation system and its probabilistic CPM Add-On. In the second part, the students are introduced to the basic fundamentals of the Factors Model. In the third part of thecourse the students are asked to get involved in the observation of field construction processes. In the last part, the studentsare asked to analyze the field data, and to build simulation models. Courses similar to the one presented in this paperemphasize the need to link the theoretical concepts, with the reality of the construction field.

 Artículos similares

       
 
Chi-Hieu Ngo, Seok-Ju Lee, Changhyun Kim, Minh-Chau Dinh and Minwon Park    
In seaports, the automatic Grab-Type Ship Unloader (GTSU) stands out for its ability to automatically load and unload materials, offering the potential for substantial productivity improvement and cost reduction. Developing a fully automatic GTSU, howeve... ver más

 
Lars Lundberg, Martin Boldt, Anton Borg and Håkan Grahn    
We present a method, including tool support, for bibliometric mining of trends in large and dynamic research areas. The method is applied to the machine learning research area for the years 2013 to 2022. A total number of 398,782 documents from Scopus we... ver más
Revista: AI

 
Chunhui Zhang, Wanyi Zhang, Chengjun Zhang, Liwei Zheng, Shiyi Yan, Yuanhao Ma and Wei Dang    
Variations in solar insolation caused by changes in the Earth?s orbit?specifically its eccentricity, obliquity, and precession?can leave discernible marks on the geologic record. Astrochronology leverages these markers to establish a direct connection be... ver más

 
Arturs Kempelis, Inese Polaka, Andrejs Romanovs and Antons Patlins    
Urban agriculture presents unique challenges, particularly in the context of microclimate monitoring, which is increasingly important in food production. This paper explores the application of convolutional neural networks (CNNs) to forecast key sensor m... ver más
Revista: Future Internet

 
Sadaf Montazeri, Zhen Lei and Nicole Odo    
The construction industry, despite its anticipated significant growth, has struggled with low productivity over the past two decades. Design for manufacturing and assembly (DfMA), a methodology with a history of success in other industries, presents a pr... ver más
Revista: Buildings