A User-Oriented Implementation of Risk Breakdown Structure in Construction Risk Management

The construction industry works under conditions of uncertainties and risks leading to poor performance, increased cost and time and decreased quality. In these conditions, the dynamic identification and assessment of project risks among a vary range of potential factors is considered of vital importance. The introduction of RBS （risk breakdown structure） as a hierarchically organized depiction of identified risks was considered a suitable tool in risk management, especially in construction, due to its many advantages in synthetic representation and dynamic nature. This paper presents a user-oriented implementation of RBS to assist the project managers in identifying and assessing potential risk factors affecting construction process. The evidential analogies between WBS （work breakdown structure） and RBS are captured and used in the proposed framework which interconnects them into a 2D （two dimensional） matrix used to associate risks to the specific project activities. The proposed framework is applied to a government funded design-bid-build project. The obtained results clearly demonstrate the advantages in identifying the most risky activities, as well as the most important risk factors affecting the whole project.

Fuzzy comprehensive evaluation model for construction risk analysis in urban subway

On the basis of expert questionnaire and the relevant specification,multi-factors influencing weight matrix was constructed by Analytic Hierarchy Process(AHP)improved in transfer matrix algorithm,and influential factors were fuzzy classified to construct the fuzzy evaluation matrix by using trapezoidal fuzzy membership function.Fuzzy evaluation analysis was carried out through multistage fuzzy comprehensive evaluation method,and verified in combination with engineering construction condition of shallow buried tunnel with large span of Zhongshan Park Station in Qingdao Metro,and four kinds of risk control schemes were established and compared on the analysis of tunnel construction risk.Results show that the model was feasible and the improved construction scheme was very effective to reduce the construction risk.

MANAGING CONSTRUCTION RISKS OF AP1000 NUCLEAR POWER PLANTS IN CHINA

Large and complex construction projects lace risk trom various sources and the successlul completion of such projects depends on effective risk management. This study investigates the risk faced by Chinese firms participating in constructing AP 1000 nuclear power plants in China. AP 1000 nuclear reactors are new, Generation III＋ reactors designed by Westinghouse and to be built first in China. The semi-structured interview approach is used to elicit information from experts involved in the AP1000 projects in China. Based on the interviews, various sources of risk are identified. In addition to general risks that megaprojects normally face, there are unique risks that arise from various sources such as technological, political, organizational, and individual personnel risks. Risk management strategies are proposed to manage general and unique risks identified in the study. The findings of this study would be helpful for Chinese companies involved in the construction of AP 1000 nuclear power plants to mitigate the risks associated with the projects.

Risk Assessment and Prediction of Construction Project Based on 1D-CNN-Attention-BP

In order to solve the problem of low accuracy of construction project duration prediction, this paper proposes a CNN attention BP combination model project risk prediction model based on attention mechanism, one-dimensional convolutional neural network (1d-cnn) and BP neural network. Firstly, the literature analysis method is used to select the risk evaluation index value of construction project, and the attention mechanism is used to determine the weight of risk factors on construction period prediction;then, BP neural network is used to predict the project duration, and accuracy, cross entropy loss function and F1 score are selected to comprehensively evaluate the performance of 1d-cnn-attention-bp combined model. The experimental results show that the duration risk prediction accuracy of the risk prediction model proposed in this paper is more than 90%, which can meet the risk prediction of construction projects with high accuracy.

Constructing an assessment index system for strategic risk management in coal science and technology enterprises

Coal occupies a dominant position in China＇s national economy and is an essential energy source for future industrial development. To inform the efficient and sustainable development of the coal industry, this paper analyzes the sources of strategic risk for coal science and technology enterprises using 3 first-class indicators, 10 second-level indicators, and 37 observation points established through the existing research literature and experience. Moreover, in accordance to the obtained initial index data, the selected indicators have been tested and screened using reliability and membership degree analyses to remove redundant variables, avoid juxtaposition of risk factors at different levels, and reduce the influ- ence of some tiny risk factors for enterprise strategic risk. Then, factor analysis of external environment factor sub-scale was carried out. Factors are extracted according to a standard characteristic value greater than 1. Variables with high coefficients are classified into one factor category; and finally, 3 first-class indicators. 8 second-level indicators, and 37 observation noints are reconstructed.