TY  - CONF
TI  - A Fuzzy Expert System for Measuring the Degree of Lean Implementation in Construction Projects
C1  - Auckland, New Zealand
C3  - Proceedings of the 32nd Annual Conference of the International Group for Lean Construction (IGLC 32)
SP  - 1147
EP  - 1158
PY  - 2024
DO  - 10.24928/2024/0159
AU  - Ead, Rana
AU  - Liu, Kexin
AU  - Saleh, Amira
AU  - Assaf, Sena
AU  - Gonzalez-Moret, Vicente
AU  - Hamzeh, Farook
AD  - Ph.D. Student, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada, rsead@ualberta.ca, https://orcid.org/0000-0001-9377-2138
AD  - Ph.D. Student, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada, kexin10@ualberta.ca, https://orcid.org/0000-0002-1262-1440
AD  - Ph.D. Student, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada, asaleh2@ualberta.ca, https://orcid.org/0000-0002-3835-3931
AD  - Ph.D. Student, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada, sassaf1@ualberta.ca, https://orcid.org/0000-0003-3256-3310
AD  - Professor and Tier 1 Canada Research Chair in Digital Lean Construction, Infrastructure Human Tech Lab, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada, vagonzal@ualberta.ca, https://orcid.org/0000-0003-3408-3863
AD  - Professor, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada, hamzeh@ualberta.ca, https://orcid.org/0000-0002-3986-9534
AB  - Lean construction has emerged as a production management philosophy that can achieve significant performance improvements within the construction industry. However, the industry has not yet achieved full potential in terms of the implementation of Lean principles as compared to other industries. Such achievement necessitates continuous improvements throughout the project lifecycle. However, it is first necessary to understand the current level of Lean implementation to identify opportunities for improvement. Previous researchers have developed frameworks for measuring the degree of Lean implementation of an organization as a means to assess continuous improvements. However, being on the organizational level, these frameworks might not provide the means for assessing the incremental improvements toward transforming into a “Lean” construction company. There is a need to gauge the level of lean implementation at the project level, serving as a crucial stepping stone for overall organizational achievement. Accordingly, this study aims to develop a framework for measuring the degree of Lean implementation in a construction project using fuzzy expert systems (FES). This system provides decision-makers with an evaluation of the current implementation of Lean in construction which, in turn, provides a direction on further opportunities for improvement.
KW  - Lean construction
KW  - Lean implementation
KW  - fuzzy expert systems (FES).
PB  - 
T2  - Proceedings of the 32nd Annual Conference of the International Group for Lean Construction (IGLC 32)
DA  - 2024/07/01
CY  - Auckland, New Zealand
L1  - http://iglc.net/Papers/Details/2266/pdf
L2  - http://iglc.net/Papers/Details/2266
N1  - Export Date: 04 April 2025
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -