Delays in the Road Construction Projects from Risk Management Perspective

Ghaleh, Reza Mohajeri Borje; Pourrostam, Towhid; Sharifloo, Naser Mansour; Sardroud, Javad Majrouhi; Safa, Ebrahim

doi:10.3390/infrastructures6090135

Cited by 13 publications

(12 citation statements)

References 16 publications

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“…Delay in the execution phase of road construction is one of the major challenges, especially in project locations with soft soil characteristics (Ghaleh et al, 2021). A lot of factors were affecting delay in the field, based on research using Delay Risk Assessment Models (DRAMs) shows that weather conditions and late land acquisition were the most probable and severe delay factors (Antoniou, 2021).…”

Section: Rainfall Historical Datamentioning

confidence: 99%

Practical Optimization of Access Road Construction Methods in Soft Soil Areas

Yudhistira,

Fathani,

Budi Nugroho

et al. 2024

MKTS

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In one of the smelter projects at West Kalimantan, access road construction was planned to use soil embankment above the geo-membrane layer. But this method is not highly effective considering rainfall intensity is very high in the project location. Therefore, optimization needs to be done to obtain the most effective method in terms of cost and timely accomplishment of the access road. The optimization method is done by making a comparison matrix of the output results of the running simulation schedule on software. From the several methods proposed, the duration of completion, completion costs, and resource requirements are compared and scored to get the most optimized method. Other than that, carbon emissions resulting from each method are also compared. The optimization result concluded that boulder stone layer addition with optimum quantity in the embankment is the most optimal method considering the remaining time and encountering intensive rainfall. This optimized method can result in an accelerated construction duration of 140 days, cost efficiency of 11.46%, and a reduction in carbon emissions of 44% compared to the initial method. This optimization method is expected can be applied to access road embankment projects of soft soil areas in other locations, especially in the Kalimantan region.

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Section: Rainfall Historical Datamentioning

confidence: 99%

Practical Optimization of Access Road Construction Methods in Soft Soil Areas

Yudhistira,

Fathani,

Budi Nugroho

et al. 2024

MKTS

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“…Poor financial management of the contractor [2,9,14,17,23] 13. Late payments/inadequate payments with the required speed by the client [9,18,20,23,24] Management 14. Poor decision-making mechanism of the contractor [20] 15.…”

Section: Group Factors Referencesmentioning

confidence: 99%

Analysis of Critical Project Success Factors—Sustainable Management of the Fast-Track Construction Industry

Naji,

Gunduz,

Adalbi

2023

Buildings

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Fast-track construction has recently become the prevailing construction approach globally. It enables owners and developers to make rapid returns on investment through shortened construction periods. This strategy has many effects on the industry; therefore, four groups of factors were studied in this project: (1) financial, (2) logistics and finance, (3) management, and (4) legal. A 22-question survey was distributed to 155 professionals in the construction industry, who evaluated the impact of the stated factors on a 5-point scale. The results revealed a high level of consistency determined through Cronbach’s alpha, and a positive correlation was found by Spearman’s rank coefficient. The Relative Importance Index was used to rank the factors based the evaluation by the professionals, resulting in the following impact ranking: (1) poor communication among design and construction teams, (2) large amounts of rework, (3) low quality of work by the contractor, (4) design errors, (5) late or insufficient payment according to terms agreed with the client, and (6) unavailability of materials in the market. By providing a quantitative RII model to evaluate fast-track project management performance with the use of corresponding performance indicators, this study will benefit industry practitioners and researchers as it identifies the most significant factors that impact fast-tract project management performance.

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“…The study used a risk breakdown structure to classify the risks from the literature, a checklist, a questionnaire, and Back Propagation Multi-Layer Perceptron (BP-MLP) Artificial Neural Network to generate the final classification. Mohajeri Borje Ghaleh et al [17] used a survey and analytical hierarchy process (AHP) to investigate risks in road projects that can lead to schedule delays without considering acceleration, quantification, or optimization of the schedule. Nabawy and Khodeir [18] offered specific guidelines for a quantitative risk analysis using Monte Carlo simulation in infrastructure projects, simulating the impact on the completion date and cost but not accounting for schedule acceleration or optimization.…”

Section: Literature Reviewmentioning

confidence: 99%

Quantitative Risk Assessment Model and Optimization in Infrastructure Fast-Track Construction Projects

2023

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The construction industry has extensively applied the fast-tracking approach to the demanding need for the fast delivery of infrastructure projects. However, the fast-track strategy might be threatened by distinctive risks or changes in risk characteristics that emerge when activities are overlapped (overlapping risks). This article proposes a risk assessment simulation model to quantify the economic impact of overlapping risks on fast-track infrastructure projects. The model uses Monte Carlo simulation and a proprietary engine solution for the optimization procedure. It quantifies the overlapping risk impacts in the project duration and cost that could originate in three different overlapping degrees and evaluates the optimal overlapping degree to reduce the impact of the overlapping risks. The model demonstration used a commercial renovation project. The results suggest that overlapping risks have a high potential impact on the total cost, although with a high probability of attaining the target duration. Eight top risks affected the total duration, cost, or both. The optimum overlapping to reduce the economic impact and achieve the target project duration combines different overlapping degrees. This study contribution is a model for fast-track projects considering overlapping risks, their impact characteristic as a distribution, and the potential relationship between these risks.

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Delays in the Road Construction Projects from Risk Management Perspective

Cited by 13 publications

References 16 publications

Practical Optimization of Access Road Construction Methods in Soft Soil Areas

Practical Optimization of Access Road Construction Methods in Soft Soil Areas

Analysis of Critical Project Success Factors—Sustainable Management of the Fast-Track Construction Industry

Quantitative Risk Assessment Model and Optimization in Infrastructure Fast-Track Construction Projects

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