Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 18 results ...

Al-Zarrad, M A (2018) Multi-criteria decision-making model to improve linear repetitive projects time-cost trade-off in uncertain environment, Unpublished PhD Thesis, , University of Alabama.

Awolusi, I G (2017) Active construction safety leading indicator data collection and evaluation, Unpublished PhD Thesis, , University of Alabama.

Chau, A D (2018) Conceptual cost estimation decision support system in university construction projects, Unpublished PhD Thesis, , University of Alabama.

Egan, C M (1989) An evaluation of the effectiveness of the Mankato State university construction management program, Unpublished PhD Thesis, , University of Alabama.

Giron Matute, W A (2018) Sustainability analysis for construction companies under the LEED code, Unpublished PhD Thesis, , University of Alabama.

Harbin, K B (2020) A decision analysis tool for building renovations regarding adaptive reuse, Unpublished PhD Thesis, , The University of Alabama.

Hatamleh, M T (2020) Enhancing the management proficiencies in developing countries: The impact of project risk management within a project management maturity model on project performance, Unpublished PhD Thesis, , University of Alabama.

Macdonald, R N (2013) A strategy for materials price risk mitigation, Unpublished PhD Thesis, , The University of Alabama.

Mejia Aguilar, G (2013) Improving accuracy of project outcome predictions, Unpublished PhD Thesis, , University of Alabama.

  • Type: Thesis
  • Keywords: accuracy; control system; cost overrun; construction project; forecasting; life cycle; project control; owner
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/1447247759
  • Abstract:
    Construction industry has found that cost overruns and schedule delays are recurrent problems within the sector. Considerable cost and schedule deviations are issues at the project level that permeate organizations and seriously affect their financial performance. These adverse deviations are evidences that the traditional project control systems fail to predict, promptly and effectively, cost and schedule deviations at completion of capital projects. Even more, it seems that the current assessment methodologies do not inform how well the control system has ensured the expected cost and schedule at completion throughout the life cycle of the project. The present study inquired into current practices of forecasting and project management to see if the predictability of cost and schedule deviations of construction projects is timely and accurate. Additionally, this research investigated and assessed the most relevant change reasons associated to the forecast deviations, as well as, the most critical underlying factors that jeopardize the accuracy and timelines of these predictions. To attain these proposed objectives, a correlation research was mainly designed and complemented with a cross-sectional design. An electronic questionnaire was the primary data instrument adopted to collect the data, which finally, were analyzed by bivariate and ordinal correlations statistical techniques. The results demonstrated that cost timeliness and predictability - understood as the addition of cost predictability index plus schedule predictability index, were significant predictors of the likelihood of achieving small cost and schedule deviations at project completion, less than 5%. Although there was no evidence enough to demonstrate the statistical significance of schedule timeliness, the study considered and showed its benefit as component of the predictability index. The study identified the most significant change reasons related to forecast increments (cost and schedule) and classified their relevance by owners and contractors. The results demonstrated that change reasons with low frequencies implied high impacts and those with high frequencies implied medium and low impacts. The study showed there are underlying factors that noticeably influence the predictability performance, which must be tracked and controlled to avoid adverse deviations.

Nguyen, T T (2017) Modeling of clt creep behavior and real-time hybrid simulation of a clt-lifs building, Unpublished PhD Thesis, , The University of Alabama.

Ogunrinde, O (2020) Enhancing quality management in highway construction using emerging methods, Unpublished PhD Thesis, , University of Alabama.

Okpala, I U (2022) Robotics and automation in construction: Developing foundational insight and tools to support safe implementation, Unpublished PhD Thesis, , University of Alabama.

Premraj, P (2017) Assessment of project controls for shutdowns/turnarounds/outages, Unpublished PhD Thesis, , University of Alabama.

Shen, X (2017) Location-based leading indicators in BIM for construction safety, Unpublished PhD Thesis, , University of Alabama.

Song, S (2017) Construction equipment travel path visualization and productivity evaluation, Unpublished PhD Thesis, , University of Alabama.

Stone, M L C (2013) Development of unit cost estimating models with respect to scale economies and material price volatility for use in probabilistic life cycle cost analyses, Unpublished PhD Thesis, , University of Alabama.

Thomas, W K (2013) The impact of RFP phase project scope development on the successful outcome of construction projects using the design build project delivery method, Unpublished PhD Thesis, , University of Alabama in Huntsville.

Watson, S V (2010) Pre-disaster planning for transportation infrastructure recovery, Unpublished PhD Thesis, , The University of Alabama at Birmingham.