Calculation of the labor consumption rate for shuttering works whilst considering uncertainties - Influence of distribution functions on probabilistic calculations

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

This paper focuses on the systematic consideration of uncertainties in calculating labor consumption rates for shuttering works. The magnitude of labor consumption rates results from a production system assessment. This paper outlines the basics of labor consumption rates and important factors that influence their level. A specific value must be selected at the end of any calculation. In labor-intensive activities, labor consumption rates are highly significant for calculating construction time and cost. To make important decisions, it is essential to know the chance/risk ratio relative to key parameters. For any quotation, this ratio illustrates the chances or risks associated with certain works and the entire project. To select the chance/risk ratio, existing uncertainties must be integrated into the probabilistic calculation (using Monte Carlo simulations) by distribution functions. The probabilistic calculation of labor consumption rates therefore creates the basis for any conclusions regarding chances and risks associated with specific costs or prices. Appropriate precautions can be taken as part of systematically managing chances and risks. As a result, the process of preparing and making decisions is characterized by a more systematic and target-driven approach. Furthermore, decision reliability and transparency are improved. An example of calculating the labor consumption rate for shuttering works demonstrates the influence of the selected distribution functions on results. It also illustrates its subsequent effect on the chance/risk ratio of adopted decisions.

Original languageEnglish
Title of host publicationISEC 2017 - 9th International Structural Engineering and Construction Conference: Resilient Structures and Sustainable Construction
PublisherISEC Press
ISBN (Electronic)9780996043748
Publication statusPublished - 2017
Event9th International Structural Engineering and Construction Conference: Resilient Structures and Sustainable Construction, ISEC 2017 - Valencia, Spain
Duration: 24 Jul 201729 Jul 2017

Conference

Conference9th International Structural Engineering and Construction Conference: Resilient Structures and Sustainable Construction, ISEC 2017
CountrySpain
CityValencia
Period24/07/1729/07/17

Keywords

  • Chance/risk ratio
  • Histogram
  • Monte Carlo simulation
  • Skewness.

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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