scholarly journals The association analysis for risk evaluation of significant delay occurrence in the completion date of construction project

2018 ◽  
Vol 16 (9) ◽  
pp. 5369-5374 ◽  
Author(s):  
H. Anysz ◽  
B. Buczkowski
2022 ◽  
Vol 12 (2) ◽  
pp. 844
Author(s):  
Hubert Anysz ◽  
Jerzy Rosłon ◽  
Andrzej Foremny

There are several factors influencing the time of construction project execution. The properties of the planned structure, the details of an order, and macroeconomic factors affect the project completion time. Every construction project is unique, but the data collected from previously completed projects help to plan the new one. The association analysis is a suitable tool for uncovering the rules—showing the influence of some factors appearing simultaneously. The input data to the association analysis must be preprocessed—every feature influencing the duration of the project must be divided into ranges. The number of features and the number of ranges (for each feature) create a very complicated combinatorial problem. The authors applied a metaheuristic tabu search algorithm to find the acceptable thresholds in the association analysis, increasing the strength of the rules found. The increase in the strength of the rules can help clients to avoid unfavorable sets of features, which in the past—with high confidence—significantly delayed projects. The new 7-score method can be used in various industries. This article shows its application to reduce the risk of a road construction contract delay. Importantly, the method is not based on expert opinions, but on historical data.


2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Roberto Barbosa dos Santos ◽  
Antônio Edésio Jungles

Construction projects are risky in both physical implementation and management. The characteristics of the risk reinforce the necessity of efficient management to increase the chances of success without commitment to its goals. This study explores the correlation of delay and the schedule performance index (SPI) to evaluate the risk of a construction project completed with time overruns. The hypothesis that the SPI of projects with a delay is distinct from those projects without a delay is assumed. A database with 19 elements was used to test this hypothesis and to calculate limit values to the SPI. Therefore, the risk of delay will be small when the observed SPI is greater than the superior limit and large when the SPI is below the inferior limit. The simplicity involved in the calculation of these values showed an advantage in comparison with other methods of risk evaluation. Another strong point observed is that any company can determine the value of risk by considering its own history and support decisions like doing corrective actions.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jiao Wang

Based on the perspective of cost risk management of the entire process of power grid construction project, the WBS-RBS risk identification method is applied. The risk factors of power grid engineering cost are comprehensively identified from the five major engineering cost formation stages: investment decision estimate stage, design estimate stage, bidding price stage, construction budget stage, and final account stage. Combined with the basic data obtained from the questionnaire, the membership degree method is adopted to screen the key indicators of the preliminary factors of cost risk and then eliminate the redundant indicators. Furthermore, a set of simple and efficient risk evaluation index system for power grid engineering cost is constructed in order to improve the risk evaluation and management level of power grid construction project in China.


2019 ◽  
Vol 9 (1) ◽  
pp. 71
Author(s):  
Yonghua Wang ◽  
Guosheng Hu ◽  
Jia-xin Zhang

With the rapid development and growth of the installed capacity of wind power generation in China, more and more attention has been paid to the risk of wind farm construction projects. Based on the extension element method and the multi-level fuzzy comprehensive evaluation method, this paper makes an empirical analysis on the bidding risk of the wind farm construction project of Xintiandi energy company in Hebei province. The research shows that the extensible matter element method can provide effective support for decision makers because there are no different evaluation principles and more accurate risk evaluation.


Author(s):  
Ru Wang ◽  
Youliang Feng ◽  
Hongmei Yang

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