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Ahmed, S M, Sang, L P and Torbica, & M (2003) Use of Quality Function Deployment in Civil Engineering Capital Project Planning. Journal of Construction Engineering and Management, 129(04), 358–68.

Allouche, E N, Ariaratnam, S T and MacLeod, C W (2003) Software for Planning and Cost Control in Directional Drilling Projects. Journal of Construction Engineering and Management, 129(04), 446–53.

Attalla, M and Hegazy, T (2003) Predicting Cost Deviation in Reconstruction Projects: Artificial Neural Networks versus Regression. Journal of Construction Engineering and Management, 129(04), 405–11.

  • Type: Journal Article
  • Keywords: Construction management; Reconstruction; Cost control; Retrofitting; Project management; construction industry; project management; cost optimal control; civil engineering;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2003)129:4(405)
  • Abstract:
    This paper investigates the challenging environment of reconstruction projects and describes the development of a predictive model of cost deviation in such high-risk projects. Based on a survey of construction professionals, information was obtained on the reasons behind cost overruns and poor quality from 50 reconstruction projects. For each project, the specific techniques used for project control were reported along with the actual cost deviation from planned values. Two indicators of cost deviation are used in this study: cost overrun to the owner, and the cost of rework to the contractor. Based on the information obtained, 36 factors were identified as having direct impact on the cost performance of reconstruction projects. Two techniques were then used to develop models for predicting cost deviation: statistical analysis, and artificial neural networks (ANNs). While both models had similar accuracy, the ANN model is more sensitive to a larger number of variables. Overall, this study contributes to a better understanding of the reasons for cost deviation in reconstruction projects and provides a decision support tool to quantify that deviation.

Chan, E H W and Tse, R Y C (2003) Cultural Considerations in International Construction Contracts. Journal of Construction Engineering and Management, 129(04), 375–81.

Chang, A S and Tsai, Y (2003) Engineering Information Classification System. Journal of Construction Engineering and Management, 129(04), 454–60.

Cheng, M and Ko, C (2003) Object-Oriented Evolutionary Fuzzy Neural Inference System for Construction Management. Journal of Construction Engineering and Management, 129(04), 461–9.

Fu, W K, Drew, D S and Lo, H P (2003) Competitiveness of Inexperienced and Experienced Contractors in Bidding. Journal of Construction Engineering and Management, 129(04), 388–95.

Hassim, S, Kadir, M R A, Lew, Y and Sim, Y (2003) Estimation of Minimum Working Capital for Construction Projects in Malaysia. Journal of Construction Engineering and Management, 129(04), 369–74.

Hegazy, T and Petzold, K (2003) Genetic Optimization for Dynamic Project Control. Journal of Construction Engineering and Management, 129(04), 396–404.

Ibbs, C W, Kwak, Y H, Ng, T and Odabasi, A M (2003) Project Delivery Systems and Project Change: Quantitative Analysis. Journal of Construction Engineering and Management, 129(04), 382–7.

Lee, S and Halpin, D W (2003) Predictive Tool for Estimating Accident Risk. Journal of Construction Engineering and Management, 129(04), 431–6.

Lu, M and Li, H (2003) Resource-Activity Critical-Path Method for Construction Planning. Journal of Construction Engineering and Management, 129(04), 412–20.

Navon, R and Goldschmidt, E (2003) Can Labor Inputs be Measured and Controlled Automatically?. Journal of Construction Engineering and Management, 129(04), 437–45.

Warszawski, A (2003) Analysis of Costs and Benefits of Tall Buildings. Journal of Construction Engineering and Management, 129(04), 421–30.