Browsing by Author "Rodríguez, Carlos"

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Ontological Models for Simulation of Building Construction Processes
(LACCEI, Inc., 2019-07) Forcael, Eric; Salgado, Milen; Ramis, Francisco; Orozco, Francisco; Rodríguez, Carlos
The construction industry has a series of own practices and methods; which specifically depends on either the nature of construction works or the actions of the actors involved in construction activities. This makes evident the need of having tools that facilitate the construction management of projects, one of them: the simulation of construction processes. Thus, this paper presents a conceptualization of constructive operations, as a start-point for the development of a library of objects for the simulation of construction processes in buildings. To do it, fieldwork was conducted to gather information about processes and resources, which were then modeled by using Unified Modeling Language (UML). To validate the conceptualization made, some of the models created were simulated by using Discrete Event Simulation.
Simplified Scheduling of a Building Construction Process using Discrete Event Simulation
(LACCEI Inc., 2018-09) Forcael, Eric; González, Marcelo; Soto, Jaime; Ramis, Francisco; Rodríguez, Carlos
Planning and Scheduling tools used by construction professionals nowadays not always consider the effect of variability in the construction process; they do not consider explicitly the effect of changes in activity durations along the production chain. Discrete event simulation approach is a relevant exception that deserves particular attention from the construction industry. The present research proposes a discrete event simulation model applied to a simplified construction process schedule. This model considered main construction activities divided in: foundations, structure and roofing. The model can be extended and easily applied to other construction activities. Input parameters for the model were obtained directly from on-site field experience and a beta unimodal distribution assigned. On a first stage, PERT scheduling methodology was used for the model, which was later compared with discrete event simulation. Results did not provide evidence of significant statistical differences between different probability distribution used with respect to the mean project duration obtained using PERT scheduling as compared to the discrete event simulation model. This provides conclusions about total project duration and validation of the probability distribution types considered in the present research.