Statistical Methods for Construction Delay Analysis

Salunkhe, Ashwini Arun; Patil, Rahul S.

doi:10.9790/1684-0925862

Cited by 6 publications

(2 citation statements)

References 16 publications

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“…Different methods have been used to assess delay in construction, including project management methods, such as As-Planned vs. As-Built, Impacted As-Planned, As-Planned but for, Collapsed As-Built, "Window" Analysis, Time Impact Analysis, Contemporaneous Period Analysis Method (CPA), Computerised Schedule Delay Analysis Methods, and Integrated Decision Support System (DAS), aided by statistical techniques and computer modelling, to cite a few (Braimah, 2013;Salunkhe and Patil, 2013). However, the major limitation of these methods is the lack of consideration of the dynamics, interaction and cause-and-effect relationships among the various variables (Braimah, 2013).…”

Section: Construction Delay Analysis Methods and The Use Of Systems Dynamics Methodologymentioning

confidence: 99%

Design Delays in Building Projects in India: Effects and Remedies

Das

Emuze

2021

CEB

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Empirical evidence shows that design-related challenges influence delay in building projects in India. Based on case studies of building projects from the capital region of Odisha Province of India, the factors relating to consultants and design have been identified and policy interventions were compiled to reduce design linked delay. A survey method to collect data, statistical analysis and a Systems Dynamics modelling approach were used according to different scenarios to propose strategic interventions. The findings suggested that complexity of design and compilation of documents, and the combined complexity of both can cause substantial delay. The model results revealed that the combined effect of appointing competent consultants and communicating effectively could reduce delay significantly. The novelty of the study lies in using a systems approach to develop causal feedback relationships among variables, as opposed to considering one origin of the problem at a time. The study makes three contributions: (1) design-linked challenges and mechanisms of delay, based on causal feedback relationships in building construction, can be diagnosed to evolve appropriate remedial measures; (2) impacts of different interventions can be visualised quantitatively under different scenarios; and (3) an alternative methodology to examine the trend of the project period is offered.

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Section: Construction Delay Analysis Methods and The Use Of Systems Dynamics Methodologymentioning

confidence: 99%

Design Delays in Building Projects in India: Effects and Remedies

Das

Emuze

2021

CEB

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“…The monitoring and control processes of these complex construction projects must consider variables related to the fundamental constraints, such as the execution times of activities, delays, or activities that pose a higher risk of generating cost overruns and/or delays [4,15,23,36]. These delays are also a major source of complaints and disputes [37] concerning both costs and deadlines and can involve not only the principal parties to the contract but subcontractors as well [38], which highlights the need to analyze and identify the causes of the delays [39][40][41].…”

Section: Introductionmentioning

confidence: 99%

An Approach to the Analysis of Causes of Delays in Industrial Construction Projects through Planning and Statistical Computing

Araújo-Rey¹,

Pérez²

2021

Sustainability

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The analysis of the planning activities of industrial construction projects can help to evaluate some of the causes that have an impact on the variation of execution times and can also contribute to identifying those activities and components that are most likely to experience or cause delays. Data analysis is facilitated by the use of techniques based on statistical programs, allowing delays to be unequivocally linked to the different elements that make up these projects. In a theoretical study, a simulation is carried out with data that are hypothetical but consistent with real projects, which are transformed and standardized before being uploaded to the statistical software. Using the statistical software’s graphical interface, the data set is analyzed from a descriptive point of view, unraveling the relationships between variables and factors by means of contingency tables and scatter plots. Using other techniques such as the comparison of variables and correlation studies, as well as linear regression and variance analysis, the characteristics are evaluated and the differences in project delays are investigated in order to determine, after the fact, which components have the highest rates of delay in execution times.

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