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Dunston, P S and Wang, X (2005) Mixed Reality-Based Visualization Interfaces for Architecture, Engineering, and Construction Industry. Journal of Construction Engineering and Management, 131(12), 1301–9.

El-Rayes, K and Hyari, K (2005) Optimal Lighting Arrangements for Nighttime Highway Construction Projects. Journal of Construction Engineering and Management, 131(12), 1292–300.

Ibbs, W and Liu, M (2005) Improved Measured Mile Analysis Technique. Journal of Construction Engineering and Management, 131(12), 1249–56.

Irizarry, J, Simonsen, K L and Abraham, D M (2005) Effect of Safety and Environmental Variables on Task Durations in Steel Erection. Journal of Construction Engineering and Management, 131(12), 1310–9.

Lee, E, Harvey, J T and Thomas, D (2005) Integrated Design/Construction/Operations Analysis for Fast-Track Urban Freeway Reconstruction. Journal of Construction Engineering and Management, 131(12), 1283–91.

Nassar, K M, Gunnarsson, H G and Hegab, M Y (2005) Using Weibull Analysis for Evaluation of Cost and Schedule Performance. Journal of Construction Engineering and Management, 131(12), 1257–62.

Navon, R and Berkovich, O (2005) Development and On-Site Evaluation of an Automated Materials Management and Control Model. Journal of Construction Engineering and Management, 131(12), 1328–36.

Pulaski, M H and Horman, M J (2005) Continuous Value Enhancement Process. Journal of Construction Engineering and Management, 131(12), 1274–82.

Shapira, A and Goldenberg, M (2005) AHP-Based Equipment Selection Model for Construction Projects. Journal of Construction Engineering and Management, 131(12), 1263–73.

  • Type: Journal Article
  • Keywords: Construction equipment; Cost control; Construction management; Decision making;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:12(1263)
  • Abstract:
    Selection of equipment for construction projects, a key factor in the success of the project, is a complex process. Current models offered by the literature fail to provide adequate solutions for two major issues: the systematic evaluation of soft factors, and the weighting of soft benefits in comparison with costs. This paper presents a selection model based on analytic hierarchy process (AHP), a multiattribute decision analysis method, with a view to providing solutions for these two issues. The model has the capacity to handle a great number of different criteria in a way that truly reflects the complex reality, to incorporate the context and unique conditions of the project, and to allow for manifestation of user experience and subjective perception. The model was implemented in an in-house developed system that was improved and validated through testing by senior professionals. The main academic contribution of the study is in the modification of AHP to correspond with the nature of equipment selection and in its utilization as an effective means for the formalization of knowledge possessed by competent, experienced practitioners. On the practical side, the proposed model offers an efficient, convenient tool that forces the users into orderly, methodical thinking, guides them in making logical, consistent decisions, and provides a facility for all necessary computations.

Uwakweh, B O (2005) Effect of Foremen on Construction Apprentice. Journal of Construction Engineering and Management, 131(12), 1320–7.