A Study on Public Construction Project Duration Risk Identification and Evaluation

2013 ◽  
Vol 457-458 ◽  
pp. 1593-1596
Author(s):  
Fu Zhou Luo ◽  
Yan Zhou ◽  
Jing Yu Shang
Keyword(s):  
Risk Assessment ◽  
Simulation Analysis ◽  
Construction Project ◽  
Risk Identification ◽  
Assessment Model ◽  
Weighting Method ◽  
Project Duration ◽  
Dynamic Relationship ◽  
Public Construction ◽  
Relationship Of

According to the Intricate Dynamic Relationship of the Duration Management System，the Paper Identified Risk Factors for the Object.Then Established a Comprehensive Integrated Public Construction Project Duration Risk Assessment Model with the Application of Game Theory-Based Weighting Method. the Model is Validated Effective and Reasonable through Simulation Analysis. and it also Provides a New way of Thinking in the Duration Risk Assessment.

Technical Risk Assessment of Large-Scale Construction Project Based on Triangle Whitening Weight Function

2014 ◽  
Vol 989-994 ◽  
pp. 5294-5299
Author(s):  
Wei Ma
Keyword(s):  
Risk Assessment ◽  
Weight Function ◽  
Large Scale ◽  
Construction Project ◽  
Scale Construction ◽  
Assessment Model ◽  
Grey Theory ◽  
Risk Assessment Model ◽  
Technical Risk

Technical risk assessment model of large-scale construction project has been established by using triangle whitening weight function of grey theory against the problems of technical risk assessment of large-scale construction project. In the end, through example verification, this model is approved to be feasible and have certain value of reference and utilization in similar problems.

scholarly journals Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Hanchen Jiang ◽  
Peng Lin ◽  
Qixiang Fan ◽  
Maoshan Qiang
Keyword(s):  
Risk Assessment ◽  
Real Time ◽  
Simulation Analysis ◽  
Probability Distributions ◽  
Risk Identification ◽  
Worker Safety ◽  
Safety Risk ◽  
Location System ◽  
Quantitative Calculation ◽  
Real Time Location System

The concern for workers’ safety in construction industry is reflected in many studies focusing on static safety risk identification and assessment. However, studies on real-time safety risk assessment aimed at reducing uncertainty and supporting quick response are rare. A method for real-time safety risk assessment (RTSRA) to implement a dynamic evaluation of worker safety states on construction site has been proposed in this paper. The method provides construction managers who are in charge of safety with more abundant information to reduce the uncertainty of the site. A quantitative calculation formula, integrating the influence of static and dynamic hazards and that of safety supervisors, is established to link the safety risk of workers with the locations of on-site assets. By employing the hidden Markov model (HMM), the RTSRA provides a mechanism for processing location data provided by the real-time location system (RTLS) and analyzing the probability distributions of different states in terms of false positives and negatives. Simulation analysis demonstrated the logic of the proposed method and how it works. Application case shows that the proposed RTSRA is both feasible and effective in managing construction project safety concerns.

The risk assessment of manufacturing supply chains based on Bayesian networks with uncertainty of demand

2021 ◽  
pp. 1-19
Author(s):  
Mengjun Meng ◽  
Qiuyun Lin ◽  
Yingming Wang
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Information Sharing ◽  
Evaluation System ◽  
Demand Uncertainty ◽  
Risk Identification ◽  
Assessment Model ◽  
Risk Indicators ◽  
Uncertain Demand ◽  
Manufacturing Supply Chain

The great changes in the external environment of the manufacturing supply chain make its demand more complex and difficult to control. This paper takes China as an example. According to questionnaire survey and principal component analysis, the risk indicators caused by uncertain demand are screened and classified to construct evaluation system and complete risk identification. The Bayesian network integrating fuzzy set theory and left and right fuzzy ranking is used to explore the relationship between risk indicators and supply chain to achieve risk evaluation. In view of the highest risk factors, an incentive mechanism model based on information sharing is put forward to prove theoretically that information sharing is an important strategy to reduce risk. The results are as follows: The uncertain demand will lead to a high level of risk in China’s manufacturing supply chain, in which the level of information technology is the biggest cause. Only when manufacturing enterprises are willing to share information and other node enterprises join the information sharing team, can demand uncertainty be fundamentally reduced. The proposed risk assessment model realizes the method innovation and theoretical innovation. It can practical and effectively help relevant enterprises to determine and control risks.

scholarly journals Influence of the new tender law on construction project bid prices and durations in Kuwait

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Ruqaya Al-Sabah ◽  
◽  
Fatema Abdulrahim ◽  
Keyword(s):  
Construction Industry ◽  
Foreign Investment ◽  
Rapid Development ◽  
Construction Project ◽  
Weighted Average ◽  
Project Duration ◽  
The Public ◽  
Bid Price ◽  
The State Of Kuwait ◽  
Public Construction

The public construction industry is a complex industry that mandates many restrictions, consists of different prolonged phases, and involves various approvals, a great number of authorities, and party associations. The tender stage is crucial in any construction project; it sets the basis of the second party selection to a contract, which is essential for the success of the project. The State of Kuwait issued The New Tender Law (No. 49 of 2016) aligning with the rapid development of laws and regulations. The New Tender Law has introduced twenty modifications, which were included in a survey distributed to a number of participants with experience in the public construction industry in Kuwait. Ninety-three completed surveys were gathered and included in the research’s analysis. Box plot and weighted average, along with the standard deviation, were used to sort the twenty tender law modifications according to their influence on bid price and overall project duration. Encouragement of foreign investment, changing contractor classifications, lengthy award processes, and prequalification and the possibility of rebidding are common tender law modifications that have significant impacts on both attributes.

Risk Assessment of Reservoir by Fuzzy Comprehensive Evaluation Method Based on Information Entropy

2013 ◽  
Vol 438-439 ◽  
pp. 1612-1618
Author(s):  
Yong Jia Song ◽  
Cong Cong Jin ◽  
Xian Cai Zhang ◽  
Jing Li
Keyword(s):  
Risk Assessment ◽  
Information Entropy ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Risk Level ◽  
Entropy Weight ◽  
Weighting Method

This paper proposes a new risk assessment model on account of the fuzziness and uncertainty of risk factors in the reservoir after earthquake. The paper adopts methods of information entropy and fuzzy mathematics to assess risk level of the model. After analyzing the statistical data of earthquake-damaged reservoirs, we present comprehensive weight composed of importance and improved entropy weight. Base on comprehensive weight, we can adopt membership function to establish single factor evaluation of the model. Moreover, we combine fuzzy weighting method to assess risk level of a reservoir after earthquake. The result shows that risk level of the reservoir is high-risk. The case study verifies the practicability and rationality of the risk assessment method. Therefore, the method could be applied in the emergency rescue and reinforcement for reservoir after earthquake.

scholarly journals High-Temperature Disaster Risk Assessment for Urban Communities: A Case Study in Wuhan, China

2021 ◽  
Vol 19 (1) ◽  
pp. 183
Author(s):  
Zhuoran Shan ◽  
Yuehui An ◽  
L’ei Xu ◽  
Man Yuan
Keyword(s):  
Risk Assessment ◽  
High Temperature ◽  
Built Environment ◽  
Urban Communities ◽  
Remote Sensing Data ◽  
Risk Identification ◽  
Assessment Model ◽  
Weight System ◽  
Disaster Assessment ◽  
The Impact

High-temperature risk disaster, a common meteorological disaster, seriously affects people’s productivity, life, and health. However, insufficient attention has been paid to this disaster in urban communities. To assess the risk of high-temperature disasters, this study, using remote sensing data and geographic information data, analyzes 973 communities in downtown Wuhan with the geography-weighted regression method. First, the study evaluates the distribution characteristics of high temperatures in communities and explores the spatial differences of risks. Second, a metrics and weight system is constructed, from which the main factors are determined. Third, a risk assessment model of high-temperature disasters is established from disaster-causing danger, disaster-generating sensitivity, and disaster-bearing vulnerability. The results show that: (a) the significance of the impact of the built environment on high-temperature disasters is obviously different from its coefficient space differentiation; (b) the risk in the old city is high, whereas that in the area around the river is low; and (c) different risk areas should design built environment optimization strategies aimed specifically at the area. The significance of this study is that it develops a high-temperature disaster assessment framework for risk identification, impact differentiation, and difference optimization, and provides theoretical support for urban high-temperature disaster prevention and mitigation.

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