IGLC.net EXPORT DATE: 20 April 2024 @CONFERENCE{Amaral2019, author={Amaral, Tatiana G. do and Oka, Letícia G. and Filho, Carlos A. B. de Camargo and Neto, José P. Barros }, editor={ }, title={Qualitative Analysis for the Diagnosis of the Lean Construction Implementation}, journal={Proc. 27th Annual Conference of the International Group for Lean Construction (IGLC)}, booktitle={Proc. 27th Annual Conference of the International Group for Lean Construction (IGLC)}, year={2019}, pages={975-986}, url={http://www.iglc.net/papers/details/1736}, doi={10.24928/2019/0145}, affiliation={Professor, Environmental and Civil Engineering. Dept., Universidade Federal de Goiás, Brazil, +55 62 981680902, tatiana_amaral@hotmail.com ; Civil Engineer, Projects Dept, Dennis Group, Brazil, +55 62 983319111, letyoka@gmail.com ; Civil Engineer, Dusol Engenharia Sustentável, Brazil, +55 62 984228992, carlos_bouhid@hotmail.com ; Full Professor, Structural and Civil Construction. Dept., Universidade Federal do Ceará, Brazil, +55 85 999691871, barrosneto@gercon.ufc.br }, abstract={The paper presents an analysis of the implementation of Lean Construction in the center of Brazil, and an evaluation of the potentialities that each calculation method provides in the diagnosis. The Lean Construction Assessment Tool (LCAT) was used in this research to make critical inferences about the Lean implementation stage in six construction companies in Goiânia, Brazil. Based on the data obtained, the Lean Score was calculated using arithmetic averages, weighted averages and averages based on the Fuzzy Inference System. Based on this analysis, an evaluation of each LCAT criteria was inferred, and its influence on the company’s lean score was determined. The advantages and disadvantages of the lean construction implementation process were also evidenced. The measurements obtained presented small variations, such as speed of obtaining the data, interference of other variables in the process, and analysis of specialists. Nevertheless, it was possible to draw conclusions about the different potentialities of the use of each one. }, author_keywords={Lean construction; evaluation methods; implementation stage; mathematical results }, address={Dublin, Ireland }, issn={2309-0979 }, publisher={ }, language={English}, document_type={Conference Paper}, source={IGLC}, }