Analysis of Delay Impact on Construction Project Based on RII and Correlation Coefficient: Empirical Study

Gebrehiwet, Tsegay; Luo, Hanbin

doi:10.1016/j.proeng.2017.07.212

Cited by 140 publications

(143 citation statements)

References 21 publications

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“…"Delay considered as one of the most common problems causing a multitude negative effect on projects and its participating parties." (Gebrehiwet and Luo, 2017), among these effects are cost overruns. "When there is a delay in construction projects, they are either expedited or the scheduled time for the completion of project, is extended.…”

Section: Resultsmentioning

confidence: 99%

Impact of Delay on Cost Overrun in Construction Projects in Algeria

Roumeissa¹

2019

Eur. j. interdiscip. stud.

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Project success is the ultimate goal of the various project stackeholders (Salhi.R 2018). Asuccessful project means that the project is completed on time, within the agreed budget and according to the contract specifications. Delay is one of the most reccuring problems in construction project in Algeria, and it is considered as the main cause of cost overrun, time overrun, disput and claims.The objective of this paper is to mesure the impact of schedule delay on cost overrun, using the simple linear regression method and the coefficient of correlation. The proposed model can be used by practitioners as predictive mesure to address possible cost overrun.

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Section: Resultsmentioning

confidence: 99%

Impact of Delay on Cost Overrun in Construction Projects in Algeria

Roumeissa¹

2019

Eur. j. interdiscip. stud.

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“…Some of the accessible published papers relate to questionnaires, past documents' analysis and assumptions rather than facts [16,17]. However, there are still some strongly construction-based papers that present past case studies of the application of the S-curve regression method to project control of construction management [35,44]. This paper has strong continuity and solid, over 30-year engineering and construction experience presented in the previous works of one of the paper's authors [53,54].…”

Section: Discussionmentioning

confidence: 99%

“…They also require revision in order to ensure the achievement of the main objectives of the project [34]. The problem of exceeding the planned budget or failure to meet the planned deadlines is widespread in all countries [35][36][37][38].…”

Section: Literature Surveymentioning

confidence: 99%

Methodology of Planning the Course of the Cumulative Cost Curve in Construction Projects

Konior

Szóstak

2020

Sustainability

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Appropriate planning and effective monitoring of the execution of construction projects is important with regard to their successful sustainment of implementation. Time and cost are key elements that determine the success or failure of construction projects. The obtaining of a rational S-curve course before the start of a construction project that reflects reality is important for all the participants involved in implementing an investment task. The article proposes an original methodology for planning the course of the cumulative cost curve in construction projects. It uses a method of shaping the S-curve, which is well-known in both literature and practical approaches. On the basis of the authors' own research carried out in a homogeneous research group of hotel facilities, the areas of the curve for the correct planning of costs in construction projects were designated, which determine the boundaries of the predicted costs accumulated over time. The data for the development of the authors' research methodology is the result of the authors' own experience and professional work. The authors carried out Bank Investment Supervision in the years 2006-2019 on behalf of the banks that grant investment loans for non-public contracts. Knowing the total cost and duration of the planned construction project, which were determined on the basis of project documentation, cost estimates, and also their own database regarding planned and completed deadlines and budgets of similar investments, 6th degree polynomials of the real costs of the construction works were determined. This approach enabled the correct planning of costs over time and the determination of planned monthly amounts of construction works to be executed.

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“…Through an extensive nationwide survey of Jordanian construction stakeholders, one study identified the most common causes of construction delay to be owner interference, inadequate contractor experience, financing and payments, labor productivity, slow decision making, improper planning, and subcontractors [11]. In less developed nations, construction delays were found to be caused by corruption, unavailability of utilities at site, inflation, lack of quality materials, delay in design documents, slow delivery of materials, delayed owner approvals, poor site management, late payments, and ineffective project planning [12][13][14]. Chang [15] assess the reasons for cost and schedule increases specifically in the design portion, identifying owner's change requests, omissions, poor schedule estimation, and general failures; consultants lack of ability and/or omissions; and general growing needs, stakeholders and changing of governing specifications as the largest impacting factors.…”

Section: Literature Reviewmentioning

confidence: 99%

Using Text Mining to Estimate Schedule Delay Risk of 13 Offshore Oil and Gas EPC Case Studies During the Bidding Process

Son

2019

Energies

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Korean offshore oil and gas (O&G) mega project contractors have recently suffered massive deficits due to the challenges and risks inherent to the offshore engineering, procurement, and construction (EPC) of megaprojects. This has resulted in frequent prolonged projects, schedule delay, and consequently significant cost overruns. Existing literature has identified one of the major causes of project delays to be the lack of adequate tools or techniques to diagnose the appropriateness and sufficiency of the contract deadline proposed by project owners prior to signing the contract in the bid. As such, this paper seeks to propose appropriate or correct project durations using the research methodology of text mining for bid documents. With the emergence of ‘big data’ research, text mining has become an acceptable research strategy, having already been utilized in various industries including medicine, legal, and securities. In this study the scope of work (SOW), as a main part of EPC contracts is analyzed using text mining processes in a sequence of pre-processing, structuring, and normalizing. Lessons learned, collected from 13 executed off shore EPC projects, are then used to reinforce the findings from said process. For this study, critical terms (CT), representing the root of past problems, are selected from the reports of lessons learned. The occurrence of the CT in the SOW are then counted and converted to a schedule delay risk index (SDRI) for the sample projects. The measured SDRI of each sample project are then correlated to the project’s actual schedule delay via regression analysis. The resultant regression model is entitled the schedule delay estimate model (SDEM) for this paper based on the case studies. Finally, the developed SDEM’s accuracy is validated through its use to predict schedule delays on recently executed projects with the findings being compared with actual schedule performance. This study found the relationship between the SDRI, frequency of CTs in the SOW, and delays to be represented by the regression formula. Through assessing its performance with respect to the 13th project, said formula was found to have an accuracy of 81%. As can be seen, this study found that more CTs in the SOW leads to a higher tendency for a schedule delay. Therefore, a higher project SDRI implies that there are more issues on projects which required more time to resolve them. While the low number of projects used to develop the model reduces its generalizability, the text mining research methodology used to quantitatively estimate project schedule delay can be generalized and applied to other industries where contractual documents and information regarding lessons learned are available.

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Analysis of Delay Impact on Construction Project Based on RII and Correlation Coefficient: Empirical Study

Cited by 140 publications

References 21 publications

Impact of Delay on Cost Overrun in Construction Projects in Algeria

Impact of Delay on Cost Overrun in Construction Projects in Algeria

Methodology of Planning the Course of the Cumulative Cost Curve in Construction Projects

Using Text Mining to Estimate Schedule Delay Risk of 13 Offshore Oil and Gas EPC Case Studies During the Bidding Process

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