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From Quality-I to Quality-II: cultivating an error culture to support lean thinking and rework mitigation in infrastructure projects.

Authors :
Love, Peter E. D.
Matthews, Jane
Ika, Lavagnon A.
Teo, Pauline
Fang, Weili
Morrison, John
Source :
Production Planning & Control; Jul2023, Vol. 34 Issue 9, p812-829, 18p
Publication Year :
2023

Abstract

While lean thinking may help tackle waste, rework remains an ongoing problem during the construction of infrastructure projects. Often too much emphasis is placed on applying lean tools rather than harnessing the human factor and establishing a culture to mitigate rework. Thus, this paper proposes the need for construction organisations to transition from the prevailing error prevention culture (i.e. Quality-I) that pervades practice to one based on error management (i.e. Quality-II) if rework is to be contained and reduced. Accordingly, this paper asks: What type of error culture is required to manage errors that result in rework and to support lean thinking during the construction of infrastructure projects? We draw on the case of a program alliance of 129 water infrastructure projects and make sense of how it enacted, in addition to lean thinking, a change initiative to transition from error prevention to an error management culture to address its rework problem. We observed that leadership, psychological safety and coaching were pivotal for cultivating a culture where there was an acceptance that 'errors happen' and effort was directed at mitigating their adverse consequences. The contributions of this paper are twofold as we provide: (1) a new theoretical underpinning to mitigate rework and support the use of lean thinking during the construction of infrastructure projects grounded in Quality-II; and (2) practical suggestions, based on actual experiences, which can be readily employed to monitor and anticipate rework at the coalface of construction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09537287
Volume :
34
Issue :
9
Database :
Complementary Index
Journal :
Production Planning & Control
Publication Type :
Academic Journal
Accession number :
164355147
Full Text :
https://doi.org/10.1080/09537287.2021.1964882