Development of a methodology for analysing and quantifying the impact of delay factors affecting construction projects

Shebob, Abdulhamid; Dawood, Nashwan; Shah, Raj

doi:10.6106/jcepm.2012.2.3.017

Cited by 6 publications

(9 citation statements)

References 18 publications

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“…ii.Calculate the summation of risk impact of each project activity using equation (1), which calculates the summation of the RI values of the RFs allocated to these activities.…”

Section: Part (Ii-process): Calculate the Risk Level In Each Activity Of The Projectmentioning

confidence: 99%

“…The summation risk of an activity=⅀RI values of the RFs relevant to that activity (1) iii.Calculate the summation of risk for the project activities from 100% using equation (2).…”

Section: Part (Ii-process): Calculate the Risk Level In Each Activity Of The Projectmentioning

confidence: 99%

“…Delay is one of the most common problems in construction projects in both developed and developing countries in the majority of projects [1] . Construction delay generates long-term severe economic consequences and environmental impacts for nations.…”

Section: Introductionmentioning

confidence: 99%

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Analysing Delay Impact From Potential Risk Factors on Project Delivery of Oil and Gas Pipeline: A Case Study in Iraq

Kraidi¹,

Shah

Matipa

et al. 2021

j. of constr. res.

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The aim of this paper is to present the design and specifications of an integrated Delay Analysis Framework (DAF), which could be used to quantify the delay caused by the Risk Factors (RFs) in Oil and Gas Pipelines (OGPs) projects in a simple and systematic way. The main inputs of the DAF are (i) the potential list of RFs in the projects and their impact levels on the projects and the estimated maximum and minimum duration of each task. Monte Carlo Simulation integrated within @Risk simulator was the key process algorithm that used to quantify the impact of delay caused by the associated RFs. The key output of the DAF is the amount of potential delay caused by RFs in the OGP project. The functionalities of the developed DAF were evaluated using a case study of newly developed OGP project, in the south of Iraq. It is found that the case study project might have delayed by 45 days if neglected the consideration of the RFs associated with the project at the construction stage. The paper concludes that identifying the associated RFs and analysing the potential delay in advance will help in reducing the construction delay and improving the effectiveness of the project delivery by taking suitable risk mitigation measures.

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“…ii.Calculate the summation of risk impact of each project activity using equation (1), which calculates the summation of the RI values of the RFs allocated to these activities.…”

Section: Part (Ii-process): Calculate the Risk Level In Each Activity Of The Projectmentioning

confidence: 99%

“…The summation risk of an activity=⅀RI values of the RFs relevant to that activity (1) iii.Calculate the summation of risk for the project activities from 100% using equation (2).…”

Section: Part (Ii-process): Calculate the Risk Level In Each Activity Of The Projectmentioning

confidence: 99%

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Analysing Delay Impact From Potential Risk Factors on Project Delivery of Oil and Gas Pipeline: A Case Study in Iraq

Kraidi¹,

Shah

Matipa

et al. 2021

j. of constr. res.

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show abstract

“…Similarly, activity risk matrix was derived using data collected through a literature survey and using general reasoning. Finally, an activity risk matrix is developed using a reasoning approach (table 7) validated by literature [24,25,[30][31][32].…”

Section: Trianglementioning

confidence: 99%

A quantitative risk assessment methodology for construction project

Gupta

Thakkar

2018

Sādhanā

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It is observed that most of the infrastructure projects fail to meet their cost and time constraints, which will lead to a low return on investment. The paper highlights that the present risk management tools and techniques do not provide an adequate basis for response selection in managing critical risks specific to infrastructure projects. This paper proposes a risk quantification methodology and demonstrates its application for an industrial construction project. A case study is used to present an application of the proposed risk management methodology to help organisations efficiently choose risk response strategy and allocate limited resources. The research adopts an integrated approach to prioritize risks using Group Technique for Order Preference by Similarity to Ideal Solution (GTOPSIS) and to quantify risks in terms of overall project delays using Judgemental Risk Analysis Process (JRAP), and Monte Carlo Simulation (MCS). A comparison between the results of qualitative risk analysis using GTOPSIS and quantitative risk analysis i.e., JRAP and MCS is presented. It is found that JRAP along with MCS could provide some powerful results which could help the management control project risks. The crux of this paper is that the risks are highly dependent on project schedule and the proposed methodology could give a better risk priority list because it considers slackness associated with the project activities. The analysis can help improve the understanding of implications of specific risk factors on project completion time and cost, while it attempts to quantify risks. In turn, this enables the project manager to devise a suitable strategy for risk response and mitigation. Keywords. Construction project; project risk management; judgmental risk analysis process (JRAP); group technique for order preference by similarity to ideal solution and sensitivity analysis (GTOPSIS).

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“…Delay is one of the most common problems in construction projects in both developed and developing countries in the majority of projects (Alaghbari et al, 2007). Understanding the delay factors and their level of impact on construction projects may help to avoid or minimize the delay (Shebob et al, 2012). Providing a good knowledge about the Influencing Risk Factors (IRFs) and using analytical or simulation techniques are the most effective methods of risk assessment (Ruwanpura et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis of the Delay Factors in Oil and Gas Pipeline Projects

Kraidi¹,

Shah²,

Matipa³

et al.

EPiC Series in Built Environment

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Building new Oil and Gas Pipelines (OGPs) without identifying and analyzing the Influencing Risk Factors (IRFs) could cause project delay and have a significant impact on the safety of the projects at the construction and operation stages. Hence, it is essential to assess the IRFs that are applicable to the OGP projects and manage them by quantifying their impact on the projects in an accurate way. The potential IRFs were identified via an extensive literature review, and they were analyzed using the findings of a questionnaire survey and the fuzzy logic theory. This paper aims to quantify the impact of the recorded IRFs on the project’s duration and forecast the probability of the project being completed in time. The methodology of this paper includes allocating the Risk Index (RI) values of each IRF to the work activities of the projects, applying the risk distributing methods, and calculating the impact of the IRFs on the duration of each activity of the project using Monte Carlo Simulation. This paper will be useful in providing a suitable measure for the IRFs in OGPs projects, and will aid in reducing their impact on project duration and improving the certainty of the projects delivery.

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Development of a methodology for analysing and quantifying the impact of delay factors affecting construction projects

Cited by 6 publications

References 18 publications

Analysing Delay Impact From Potential Risk Factors on Project Delivery of Oil and Gas Pipeline: A Case Study in Iraq

Analysing Delay Impact From Potential Risk Factors on Project Delivery of Oil and Gas Pipeline: A Case Study in Iraq

A quantitative risk assessment methodology for construction project

Quantitative Analysis of the Delay Factors in Oil and Gas Pipeline Projects

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