### Abstract

Calculating construction costs and times is one of the most important and demanding tasks in construction management and economics. To arrive at a realistic calculation base, valid data and information is constantly being sought for labor consumption rates, output rates, productivity, material consumption, volumes in stock, number of transport cycles, and cost and time parameters that must be estimated or calculated ex ante. Ultimately, final cost and time parameters must be determined on the basis of such considerations and calculations. Accurate figures must be stated or submitted at the end of any analysis. These depend on the complexity of the building and on the conditions prevailing at the actual work stages and rely on more or less uncertain input data. One possible solution to this issue is to consider ranges that can deliver final conclusions on determined values. To systematically consider ranges in input parameters, this paper concentrates on applying probabilistic calculation methods based on Monte Carlo simulations. Key outcomes of probabilistic calculations include histograms that are used to directly capture the chance/risk ratio relative to a specific (selected) parameter. This paper presents a practical example of calculating the labor consumption rate for shuttering works to highlight the significance of the chosen chance/risk ratio and to show how it can be integrated into the systematic decision-making process adopted by the parties involved in the project.

Sprache | englisch |
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Titel | ISEC 2017 - 9th International Structural Engineering and Construction Conference: Resilient Structures and Sustainable Construction |

Herausgeber (Verlag) | ISEC Press |

ISBN (elektronisch) | 9780996043748 |

Status | Veröffentlicht - 2017 |

Veranstaltung | 9th International Structural Engineering and Construction Conference: Resilient Structures and Sustainable Construction, ISEC 2017 - Valencia, Spanien Dauer: 24 Jul 2017 → 29 Jul 2017 |

### Konferenz

Konferenz | 9th International Structural Engineering and Construction Conference: Resilient Structures and Sustainable Construction, ISEC 2017 |
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Land | Spanien |

Ort | Valencia |

Zeitraum | 24/07/17 → 29/07/17 |

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### Schlagwörter

### ASJC Scopus subject areas

- !!Civil and Structural Engineering
- !!Building and Construction

### Dies zitieren

*ISEC 2017 - 9th International Structural Engineering and Construction Conference: Resilient Structures and Sustainable Construction*ISEC Press.

**Calculation of the labor consumption rate for shuttaring works whilst considering uncertainties – Significance of the choice of the chance/risk ratio.** / Kummer, Markus.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Forschung › Begutachtung

*ISEC 2017 - 9th International Structural Engineering and Construction Conference: Resilient Structures and Sustainable Construction.*ISEC Press, Valencia, Spanien, 24/07/17.

}

TY - GEN

T1 - Calculation of the labor consumption rate for shuttaring works whilst considering uncertainties – Significance of the choice of the chance/risk ratio

AU - Kummer, Markus

PY - 2017

Y1 - 2017

N2 - Calculating construction costs and times is one of the most important and demanding tasks in construction management and economics. To arrive at a realistic calculation base, valid data and information is constantly being sought for labor consumption rates, output rates, productivity, material consumption, volumes in stock, number of transport cycles, and cost and time parameters that must be estimated or calculated ex ante. Ultimately, final cost and time parameters must be determined on the basis of such considerations and calculations. Accurate figures must be stated or submitted at the end of any analysis. These depend on the complexity of the building and on the conditions prevailing at the actual work stages and rely on more or less uncertain input data. One possible solution to this issue is to consider ranges that can deliver final conclusions on determined values. To systematically consider ranges in input parameters, this paper concentrates on applying probabilistic calculation methods based on Monte Carlo simulations. Key outcomes of probabilistic calculations include histograms that are used to directly capture the chance/risk ratio relative to a specific (selected) parameter. This paper presents a practical example of calculating the labor consumption rate for shuttering works to highlight the significance of the chosen chance/risk ratio and to show how it can be integrated into the systematic decision-making process adopted by the parties involved in the project.

AB - Calculating construction costs and times is one of the most important and demanding tasks in construction management and economics. To arrive at a realistic calculation base, valid data and information is constantly being sought for labor consumption rates, output rates, productivity, material consumption, volumes in stock, number of transport cycles, and cost and time parameters that must be estimated or calculated ex ante. Ultimately, final cost and time parameters must be determined on the basis of such considerations and calculations. Accurate figures must be stated or submitted at the end of any analysis. These depend on the complexity of the building and on the conditions prevailing at the actual work stages and rely on more or less uncertain input data. One possible solution to this issue is to consider ranges that can deliver final conclusions on determined values. To systematically consider ranges in input parameters, this paper concentrates on applying probabilistic calculation methods based on Monte Carlo simulations. Key outcomes of probabilistic calculations include histograms that are used to directly capture the chance/risk ratio relative to a specific (selected) parameter. This paper presents a practical example of calculating the labor consumption rate for shuttering works to highlight the significance of the chosen chance/risk ratio and to show how it can be integrated into the systematic decision-making process adopted by the parties involved in the project.

KW - Distribution function

KW - Histogram

KW - Monte Carlo simulation

KW - Productivity

UR - http://www.scopus.com/inward/record.url?scp=85027870443&partnerID=8YFLogxK

M3 - Conference contribution

BT - ISEC 2017 - 9th International Structural Engineering and Construction Conference: Resilient Structures and Sustainable Construction

PB - ISEC Press

ER -