Learning Curve Predictors for Construction Field Operations

Everett, John G.; Farghal, Sherif

doi:10.1061/(asce)0733-9364(1994)120:3(603)

Cited by 63 publications

(34 citation statements)

References 2 publications

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“…A past study of these mathematical models has demonstrated that the straight-line approach (as originally developed by Wright, 1936) is the most reliable predictor of future performance (Everett and Farghal, 1994). The literature review of learning curves applied to different types of construction shows that this model is the mostly frequently used in academic studies (Gottlieb and Haugbølle, 2010).…”

Section: Learning Curves and Their Application To Concrete Constructionmentioning

confidence: 99%

Construction of multi-storey concrete structures in Italy: patterns of productivity and learning curves

Pellegrino

Costantino

Pietroforte

et al. 2012

Construction Management and Economics

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The achievement of expected site productivity is one of the main characteristics of successfully completed projects. The productivity rates of concrete construction according to the learning curve theory are discussed in this paper. The study builds upon the records of variable productivity rates achieved in the erection of 15 multi-storey concrete structures in Southern Italy and the discussion of the factors behind such variability. In this last regard, a multilevel regression analysis identifies the most important factors. The repetitive work that characterizes these structures provides distinct opportunities for productivity enhancement. Learning curve theory is applied to quantify such an improvement by using a straight-line model. The quantification of learning rates, ranging from 85% to 95%, is useful for the labour cost and time planning of future concrete structures in the region. In the case of Italian sites, the application of the learning curve would be more beneficial if more effort were spent in the planning and control of the initial construction site operations and in the constructability analysis of design documents.

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Section: Learning Curves and Their Application To Concrete Constructionmentioning

confidence: 99%

Construction of multi-storey concrete structures in Italy: patterns of productivity and learning curves

Pellegrino

Costantino

Pietroforte

et al. 2012

Construction Management and Economics

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“…Moreover, these positive effects of learning span throughout the life of an engineering project starting with planning (Everett and Farghal, 1994), design (Hamade, Jaber, and Sikstrom, 2009), bidding (Wong, Cheung, and Hardcastle, 2007); they even span to the operation phase through unresolved claims (Lam, Lee, and Hu, 2001).…”

Section: Literature Review and Backgroundmentioning

confidence: 99%

Quality and Learning: A Case from the Construction Industry in the MENA Region

Kiomjian¹,

Srour²,

Srour³

2016

Construction Research Congress 2016

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Several studies recognize the existence of a relationship between learning and experience, on one hand, and productivity and quality of work, on the other hand. This paper examines, through the use of a case study, the relationship between productivity, quality, and learning within the unique labor pool of the Middle East and North Africa (MENA) region. The analysis of the case study confirms the existence of a positive correlation between task repetition (as a proxy for learning) and productivity. The data for the case study was obtained from productivity logs prepared by subcontractors and from material submittal and shop drawings approval logs prepared by the Construction Manager. The analysis of the case study did not show a positive relationship between learning and quality. This outcome is in opposition with the literature.

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“…However, "lost learning" can also be considered for more reliable modeling. "Lost learning" results from repeated learning curves due to the stopping and starting [15] [53] [34].…”

Section: Disruption and Fragmentationmentioning

confidence: 99%

“…In its most basic form, a learning curve is present when work is performed repeatedly, and as a result the worker becomes more productive doing the task. Much has been written about learning curves, dating back to the 1930's [3] [15]. As any production cycle increases in duration, and the number of units produced in a repetitive process increases, the cost, or man-hours, to produce the quantity declines by a constant, fixed percentage of the previous cumulative average units.…”

Section: Disruption and Fragmentationmentioning

confidence: 99%

Impacts to productivity in metal stud Framing, and the hanging and Finishing of gypsum Drywall

Williams¹,

Anderson

2016

2016 Portland International Conference on Management of Engineering and Technology (PICMET)

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Stud Framing, Drywall, and Tape and Finishing trade-work is a major component of every building project. Labor productivity is the largest single variable affecting of the Framing and Drywall contractors' cost of performance. In spite of these facts, no major study of labor productivity in this major construction trade has previously been done. This study was undertaken to fill this gap in the literature; specifically to investigate external impacts to labor productivity in this construction sector. The study measured the impact of thirtyeight (38) variables on 226 separate projects. The study found that poor quality design documents, unexpected labor congestion, fragmentation, and overtime and added shift work negatively impacted labor productivity.

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Learning Curve Predictors for Construction Field Operations

Cited by 63 publications

References 2 publications

Construction of multi-storey concrete structures in Italy: patterns of productivity and learning curves

Construction of multi-storey concrete structures in Italy: patterns of productivity and learning curves

Quality and Learning: A Case from the Construction Industry in the MENA Region

Impacts to productivity in metal stud Framing, and the hanging and Finishing of gypsum Drywall

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