Abstract
ABSTRACT Brazilian agriculture production requires new types of rural buildings that are more sustainable, economical, and well adapted to their environment. Furthermore, these buildings are no longer simple living quarters, but a way of valuing rural workers. Thus, this study aimed to create a linear programming model for optimizing decision-making when different techniques and construction materials are combined to build rural housing dwellings, thereby enabling an assessment of both the cost and comfort of such buildings. The research considered localizing network facilities via analogies in order to adapt a budget matrix. Three main criteria were applied: cost, runtime, and the environmental comfort provided. The model comprised six construction systems, three types of sealing masonry, two types of roofing, and four types of tiles. Simulations were performed for two Brazilian states, considering the same reference date of validation and comparison. Each input variable resulted in a different construction model. It was demonstrated that the new industrialized construction technologies are advantageous since they provide faster execution, competitive prices, and sustainable raw materials, whilst the application of the criteria to the traditional system of reinforced concrete is also feasible. The linear programming model offers its users an additional decision-making tool for construction systems, enabling time and resource optimization.
Highlights
One of the main challenges faced within engineering and architecture is that of predicting real-estate costs (Marzouk et al, 2018)
The network optimized structure was developed using the budget matrix (Figure 1), which comprised the following: six construction systems, three types of sealing, two types of roofing, four types of tiles, and the minimum standard of finishing stated by the Minha Casa, Minha Vida Program Modality Rural - Stage III (MC, 2016)
The linear programming approach allows the optimization of time and resources, enabling high productivity, reduced costs and high quality in the construction process
Summary
One of the main challenges faced within engineering and architecture is that of predicting real-estate costs (Marzouk et al, 2018). The development of computerization and new technologies has increased exponentially within the whole agribusiness chain, including the construction industry (Oliveira, 2018). The increase of agribusiness exports requires new structures, which bring new approaches to rural construction, including technological improvements (Zucca et al, 2018). Rural dwellings are considered simple projects, but when the multitude of variables involved in the construction process are considered, the complexity becomes apparent (Gervásio et al, 2014). Each type of construction presents specific problems which complicate the decision-making process for ascertaining the final costs. Such variables can be managed using optimized algorithms (Machairas et al, 2014)
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