Forecasting labor productivity using factor model

Thomas, H R and Sakarcan, A S (1994) Forecasting labor productivity using factor model. Journal of Construction Engineering and Management, 120(1), pp. 228-239. ISSN 0733-9364

Abstract

This paper uses data from 22 masonry projects to compare two approaches for forecasting labor productivity. The first approach is to divide the current work-hour total by the percent complete (PC) of the activity. The second method uses the factor model to develop a predicted labor-productivity curve. Actual deviations from this curve are reflected in the labor-productivity forecast at completion. The paper details how the predicted curve and the forecast are made. Absolute and relative errors are the basis of comparison. On average, the factor-model forecasts are within ±5% when only 5% of the work is completed. The range based on the standard deviation is ±25%. The PC approach is equally as accurate when considering the average of the 22 projects. However, the range of error is consistently about 50% larger. It is concluded that the factor model is a more reliable method of forecasting labor productivity.

Item Type: Article
Index terms: deviation, productivity, forecasting, labour productivity
Subjects: management, financial and cost management, prediction and forecasting
Topics: Business Strategy, Cost Management, Research Practice, Site Management
Descriptive scope: 2 CA

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