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COST CONTINGENCY ESTIMATION: A NEW METHOD FOR QUANTITATIVE RISK ANALYSIS APPLIED TO A REAL CONSTRUCTION PROJECT

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JANUARY 2024   -  Volume: 99 -  Pages: 106-112

DOI:

https://doi.org/10.6036/10815

Authors:

DAVID CURTO LORENZO
-
DAVID JESUS POZA GARCIA
-
FELIX ANTONIO VILLAFAÑEZ CARDEÑOSO
-
FERNANDO ACEBES SENOVILLA

Disciplines:

  • Organization and management of enterprises (GESTION DE PROYECTOS )

Downloads:   79

How to cite this paper:  
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Received Date :   5 January 2023

Reviewing Date :   11 January 2023

Accepted Date :   3 May 2023


Key words:
Monte Carlo Simulation, Quantitative Risk Analysis, Cost Contingency, Risk Management, MCSimulRisk, Simulación de Monte Carlo, Análisis Cuantitativo de Riesgos, Contingencia de Coste, Gestión del Riesgo
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

The main objective of this work is to propose a method based on Monte Carlo simulation (MCS) to estimate the allocation of project cost contingency reserves in the planning phase, incorporating the different types of uncertainty described in the literature, associating them to each of the risks identified in the project. The method was applied to validate our proposal on an actual construction project carried out by the University of Valladolid (Spain).
Applying the proposed method has allowed us to obtain a more accurate estimate of cost contingencies than the method traditionally used by the company, which consisted of reserving a fixed and arbitrary percentage of the total project execution budget.

Keywords: Monte Carlo Simulation; Quantitative Risk Analysis; Cost Contingency; Risk Management; MCSimulRisk

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