https://doi.org/10.24928/2019/0145

Qualitative Analysis for the Diagnosis of the Lean Construction Implementation

Tatiana G. do Amaral¹, Letícia G. Oka², Carlos A. B. de Camargo Filho³ & José P. Barros Neto⁴

¹Professor, Environmental and Civil Engineering. Dept., Universidade Federal de Goiás, Brazil, +55 62 981680902, [email protected]
²Civil Engineer, Projects Dept, Dennis Group, Brazil, +55 62 983319111, [email protected]
³Civil Engineer, Dusol Engenharia Sustentável, Brazil, +55 62 984228992, [email protected]
⁴Full Professor, Structural and Civil Construction. Dept., Universidade Federal do Ceará, Brazil, +55 85 999691871, [email protected]

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.

Keywords

Lean construction; evaluation methods; implementation stage; mathematical results

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Reference

Amaral, T. G. , Oka, L. G. , Filho, C. A. B. C. & Neto, J. P. B. 2019. Qualitative Analysis for the Diagnosis of the Lean Construction Implementation, Proc. 27th Annual Conference of the International Group for Lean Construction (IGLC) , 975-986. doi.org/10.24928/2019/0145

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