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Evaluating Construction Projects' Alternatives Using Lean Construction and Sustainability Principles in an Information Model Framework

# metadata.dc.description.abstract[].value
This study evaluates and validates how BIM functionalities can foster the consideration of lean construction and sustainability principles in building design. To this end, a plugin was developed and implemented in a BIM-enabled visualization environment. This system aims to help a user decide the best design between alternatives, while considering the user’s perspective on what generates value in the project. To illustrate and validate the usability and importance of the system, the design of a warehouse with specific requirements was considered. Four design alternatives were modeled considering different types of superstructures, building envelopes, and materials. The system imported an external database and calculated the general costs, CO2 emissions, and thermal comfort indicators for each model. It also incorporated user-defined weights for each indicator and graphically displayed the results indicating the best options through a multiple attribute decision method. From the obtained results, it was concluded that it is possible to integrate BIM and lean principles to support sustainable development in the construction industry. Through an experiment with warehouse alternatives, the proposed approach revealed that the best project could save nearly 50% of CO2 emissions when compared to the worst project and that the second-best project had the best performance in terms of thermal heat flow (1.80 Megawatts). The results also indicate that the system can be a great asset in supporting the decision-making process of selecting the best design alternative and understanding the impact of design changes on cost and on the environment.

# metadata.dc.rights[].value
cc-by (c)  Faria, Pedro Saieg et al., 2023

# metadata.dc.source[].value
Articles publicats en revistes (Empresa)

# metadata.dc.title[].value
Evaluating Construction Projects' Alternatives Using Lean Construction and Sustainability Principles in an Information Model Framework