Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 12 results ...

Amida, A, Chang, I and Yearwood, D (2019) Designing a practical lab-based assessment: a case study. Journal of Engineering, Design and Technology , 18(03), 567–81.

Amoah, C and Pretorius, L (2019) Evaluation of the impact of risk management on project performance in small construction firms in South Africa. Journal of Engineering, Design and Technology , 18(03), 611–34.

Asiedu, R O and Gyadu-Asiedu, W (2019) Assessing the predictability of construction time overruns using multiple linear regression and Markov chain Monte Carlo. Journal of Engineering, Design and Technology , 18(03), 583–600.

  • Type: Journal Article
  • Keywords: Model; Multiple regression; Markov chain Monte Carlo; Time overruns; Bayesian approach; Building; Estimate;
  • ISBN/ISSN: 1726-0531
  • URL: https://doi.org/10.1108/JEDT-06-2019-0160
  • Abstract:
    This paper aims to focus on developing a baseline model for time overrun. Design/methodology/approach Information on 321 completed construction projects used to assess the predictive performance of two statistical techniques, namely, multiple regression and the Bayesian approach. Findings The eventual results from the Bayesian Markov chain Monte Carlo model were observed to improve the predictive ability of the model compared with multiple linear regression. Besides the unique nuances peculiar with projects executed, the scope factors initial duration, gross floor area and number of storeys have been observed to be stable predictors of time overrun. Originality/value This current model contributes to improving the reliability of predicting time overruns.

d'Apolito, L and Hong, H (2019) Forklift truck performance simulation and fuel consumption estimation. Journal of Engineering, Design and Technology , 18(03), 689–703.

I., B S, L., S R and Ramulu, P J (2019) Surface development by reinforcing nano-composites during friction stir processing – a review. Journal of Engineering, Design and Technology , 18(03), 653–87.

Jiang, Q (2019) Estimation of construction project building cost by back-propagation neural network. Journal of Engineering, Design and Technology , 18(03), 601–9.

Khan, M R and Sonawane, A (2019) Prediction of impact response in construction safety helmet using FEA. Journal of Engineering, Design and Technology , 18(03), 557–66.

Malhotra, M, Sahu, V, Srivastava, A and Misra, A K (2019) Experimental and numerical investigation of the effect of pre-existing utility tunnel on the bearing capacity of shallow footing in sandy soils. Journal of Engineering, Design and Technology , 18(03), 513–29.

Onubi, H O, Yusof, N and Hassan, A S (2019) Adopting green construction practices: health and safety implications. Journal of Engineering, Design and Technology , 18(03), 635–52.

Sahu, V, Attri, R, Gupta, P and Yadav, R (2019) Development of eco friendly brick using water treatment plant sludge and processed tea waste. Journal of Engineering, Design and Technology , 18(03), 727–38.

Santoso, D S and Gallage, P G M P (2019) Critical factors affecting the performance of large construction projects in developing countries. Journal of Engineering, Design and Technology , 18(03), 531–56.

Yap, J B H and Cheah, S Y (2019) Key challenges faced by Chinese contractors in Malaysian construction industry. Journal of Engineering, Design and Technology , 18(03), 705–26.