scholarly journals Analysis on Risk Factors of BIM Application in Construction Project Operation and Maintenance Phase

2021 ◽  
Vol 14 (02) ◽  
pp. 213-227
Author(s):  
Chenglong Yang ◽  
Liang Mao
2019 ◽  
Vol 9 (1) ◽  
pp. 14-17 ◽  
Author(s):  
Magdalena Kowacka ◽  
Dariusz Skorupka ◽  
Artur Duchaczek ◽  
Paweł Zagrodnik

AbstractThe work contains information on the implementation of surveying works in the road construction process. The aim of the research was to identify geodetic risk factors occurring at the stage of preparation of a construction project, the presence of which can greatly disrupt the undertaking such as the road construction. The research was carried out on the basis of expert knowledge, documentation obtained from various road construction projects and the analysis of disturbances at the initial stage of works.


2012 ◽  
Vol 170-173 ◽  
pp. 2292-2297
Author(s):  
Jiao Zhang

The application of analytical hierarchy process (AHP) to the risk analysis of port construction project was investigated. Firstly, the happening probabilities of various risk factors during port construction were calculated. Secondly, the aftereffects of the risks were concluded by consulting the experts. Thirdly, the weight of each risk factor was obtained by AHP. Finally, the total risk of port construction project could be evaluated by fuzzy comprehensive evaluation. This risk analysis method was applied to evaluate the total risk of a real port construction project, and the exemplification verified its feasibility.


2014 ◽  
Vol 53 ◽  
pp. 239-247 ◽  
Author(s):  
Øyvind Netland ◽  
Iver Bakken Sperstad ◽  
Matthias Hofmann ◽  
Amund Skavhaug

2013 ◽  
Vol 684 ◽  
pp. 639-643 ◽  
Author(s):  
Alireza Ghaffari

The construction project is a complex sector which characterized with low productivity, cost and time overruns and conflicts. The major challenges in construction project risk assessment which may attributed to knowledge requirements for determining the level of uncertainty and development of complex models to predict . Portfolio theory and capital market theory stipulate that risk consists of two types, First, systematic risk, which cannot be controlled, emanates from external factors such as acts of God, natural disasters, market risk, interest-rate risk, and purchasing-power risk. Second, unsystematic risk, which can be controlled, relates to organization-specific factors such as business risk and financial risk (Fischer and Jordan 1996).) . To identifies the risk factors that influence the cost-effective management, operation, and maintenance of construction project, as well as how and when in the project life cycle the identified risk factors impact to the associated costs . The identification and design of risk is the first step of risk management. It contain the recognition of potential risk event conditions in a project and the clarification of risk responsibilities. A total of 50 risk factors on construction for stake holders (client , contractor ,consultant ) share projects were identified after conducting an extensive literature survey. A questionnaire survey was conducted from 60 project managers(20 from each category) in all three proficiencies with background experience in buildings ,road and bridges with minimum 15 years experience , to identify the most significant risk factors impact in construction projects . Interviews were conducted face to face, ensuring a 100 percent response rate. The questionnaire was amended by incorporating feedback of the experts to suit the local environments of the construction industry. The weight or rate of each risk factor gained by using a five-point Liker scale from a consolidated conceptual framework of all 50 risk factors identified from the deep literature work . The main aim of these research is to identify ,categorize and ranking common risks, exert management techniques to address those risks , effective risk management and risk status in the construction industry and to help stakeholders to take stock of their ongoing and future projects, with a focus on important risks, their management techniques and barriers to effective implementation of risk management systems.


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Fatemah Behnaz ◽  
Mahmoud Mohammadzadeh ◽  
Golnaz Mohammadzade

Objective. To evaluate risk factors which influence sputum smear conversion, outcome, and trends of conversion of sputum smear during 5 years and compare outcomes in patients with different regimens.Methods. In a retrospective cohort study, all patients with sputum smear positive tuberculosis were evaluated for comorbidities and demographic, microbiological, and therapeutic data and outcome. Smear examinations were performed at the beginning, at 2 months for CAT I, at 3 months for CAT II, at the end of second month of maintenance phase, and at the end of treatment.Results. This study enrolled 211 sputum smear positive patients, but 189 patients who completed the intensive phase of treatment were evaluated. Sputum smear of 158 patients converted at the end of intensive phase (83.6). Univariate analysis indicated that the risk of a persistent positive smear at the end of intensive phase was greater in diabetic patients ((odds 4.038, 95% CI 1.123–14.516)P=0.033), and also a 3+bacillary load had risk of 2.933-fold ((95% CI 1.278–6.732)P=0.011). Overall rate of unfavorable outcome was 20.9%. Factors associated with unfavorable outcome were age (Pvalue 0.000), male gender (Pvalue 0.027), diabetes (Pvalue 0.000), and delayed conversion of sputum at the end of intensive phase (Pvalue 0.000). Outcome for different regimens was not different significantly. Two specimens were isoniazid resistant.Conclusions. We suggest supervised treatment and care for diabetic patients and those with higher bacillary load. Paying attention to early diagnosis of tuberculosis in the elderly to reduce poor outcome and further measures to prevent transfer-out could improve the success rate.


2021 ◽  
Vol 29 (4) ◽  
pp. 37-48
Author(s):  
Namdeo Hedaoo ◽  
Amey Pawar

Abstract Risk is involved in every construction project. Residential building construction projects comprise a variety of risks and are more likely to be affected due to their difficulty and many operations and threats. The study aims to identify the various risk elements and their effect on construction projects of residential buildings using a fuzzy approach with the help of MATLAB software. This study includes 60 risk factors recognised through an expert opinion and literature review. These factors are categorised into 7 major groups, i.e., construction, project manager, architect/consultant, contractor, owner, resources, and external environment-specific risk factors. A questionnaire was prepared and sent using emails based on the identified risk factors to be filled out by construction industry professionals in India and by conducting in-person interviews. Based on the risk severities obtained from the fuzzy model, the top 10 risk factors have been considered. As a result, for identified top severe risk factors, a significant risk response strategy was implemented.


2020 ◽  
Vol 10 (1) ◽  
pp. 70-85
Author(s):  
Abdarahim Salem ◽  
Eric Simpeh ◽  
Julius Fapohunda

The construction industry is extremely complex, with dynamic project environments creating an atmosphere of high uncertainty and risk. For that reason, risks in construction project have become an inevitable feature and the industry is susceptible to numerous business, socio-political and technical risks that negatively influence project delivery. This study therefore investigates the causes of external risks factors in construction project delivery and the effect on project and organisational performance so that efficient control measures can be designed to minimise its occurrence. A quantitative research design was adopted, and the sample comprised of randomly selected construction professionals in the Western Cape Province. The data was statistically analysed using descriptive and inferential analyses. The salient findings revealed that socio-political-related risk factors were the major causes of risks during construction project delivery, these factors include labour strikes and disputes due to union issues, excessive influence by government on court proceedings regarding construction project disputes, and constraints on the availability and employment of expatriate staff. In addition, the study revealed the impact of external related risks on projects and organisational performance, and it was found that cost overrun was ranked the most significant on project performance and disputes between parties to the contract was ranked the most significant on organisational performance. In the context of the South African construction industry, previous studies tended to focus more on internal risks as opposed to external risks. Therefore, this study makes a contribution to the body of knowledge on the subject within a previously unexplored context. The study provides insights with regard to the sources of external related risks associated with construction project within the context of the South African construction industry.


2013 ◽  
Author(s):  
Yusuf Latief ◽  
◽  
Akhmad Suraji ◽  
Yulianto S Nugroho ◽  
Rosmariani Arifuddin ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guofeng Ma ◽  
Zhijiang Wu ◽  
Ming Wu ◽  
Shanshan Shang

PurposeThe purpose of this study is to extract the real requirements of the owner (or users) for the construction project in the operation and maintenance stage completely and accurately and carry out the construction based on the requirements, to make the project status and operation and maintenance requirements (RO&M) consistent after delivered.Design/methodology/approachThis study creatively proposes the operation and maintenance functions deployment (OMFD) under RO&M. In addition, the OPAR (naming is made up of the initials of owners, project, analysis and result) model is constructed to fully identify the requirements of both owners and projects. In this study, three typical construction projects are taken as examples to calculate the correlation strength between project characteristics (PC) and operation and maintenance requirements through the Apriori algorithm, and order parameters are obtained from the cost chain.FindingsThis study found that there are significant differences in the correlation strength between 11 types of RO&M and PC, in which the “cost of types” (TC) correlation of residential housing and factory buildings is the largest, while the largest correlation demand of commercial buildings is “safety of types” (TS) and “system” (S). Simultaneously, through the calculation of order parameters, the most influential factors on project characteristics are obtained.Practical implicationsThis study could effectively help the owner (or users) to check whether the delivered project fully satisfy their real requirements and also extract the key technical points to realize RO&M, which can guide the accurate construction of the same type of projects.Originality/valueThis research establishes OPAR model to accurately identify the requirements of the project in the operation and maintenance stage and establishes the association rules between the requirements and the construction scheme, which is helpful for the project to construct under the expected requirements.


2017 ◽  
Vol 34 (9) ◽  
pp. 1451-1473 ◽  
Author(s):  
Tanmay Nitin Mhatre ◽  
J.J. Thakkar ◽  
J. Maiti

Purpose The purpose of this paper is to employ an integrated approach of interpretive ranking process (IRP) and system dynamics (SD) for modelling the key risk factors for a typical construction project. Design/methodology/approach The risk parameters and performance measures applicable in the construction industry have been identified through extensive literature review and discussions with experts from the construction industry. Based on the literature review, a questionnaire was designed and 64 responses were considered. The list of 20 risk parameters and 32 performance measures relevant for a construction industry is reduced to five risk factors and five performance measure factors using factor analysis. IRP modelling is employed to examine the contextual relationships among risk factors and to rank them with respect to performance measure factors. Subsequently, the results of IRP model were utilised as inputs to SD analysis. The SD analysis is conducted for two models, namely, risk factor model and risk variable model to understand the impact of interventions offered by project management team on risk reduction and mitigation. Findings The developed IRP model shows that the risk factor dimension “construction management” has a high likeliness to occur during the construction phase. Research limitations/implications The research demonstrates an application of proposed approach for a typical construction environment and hence the results cannot be generalised. Originality/value This research addresses real life complexities in construction project by modelling critical risk factors using an integrate approach of IRP and SD. The proposed approach would facilitate project managers to devise appropriate risk mitigation strategies for a construction project.


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