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Abeid, J and Arditi, D (2002) Time-Lapse Digital Photography Applied to Project Management. Journal of Construction Engineering and Management, 128(06), 530–5.

Arditi, D, Tokdemir, O B and Suh, K (2002) Challenges in Line-of-Balance Scheduling. Journal of Construction Engineering and Management, 128(06), 545–56.

Ariaratnam, S T and MacLeod, C W (2002) Financial Outlay Modeling for a Local Sewer Rehabilitation Strategy. Journal of Construction Engineering and Management, 128(06), 486–95.

Chan, W T and Hu, H (2002) Constraint Programming Approach to Precast Production Scheduling. Journal of Construction Engineering and Management, 128(06), 513–21.

del Caño, A and de la Cruz, M P (2002) Integrated Methodology for Project Risk Management. Journal of Construction Engineering and Management, 128(06), 473–85.

Goodrum, P M and Haas, C T (2002) Partial Factor Productivity and Equipment Technology Change at Activity Level in U.S. Construction Industry. Journal of Construction Engineering and Management, 128(06), 463–72.

Kashiwagi, D T and Byfield, R (2002) Testing of Minimization of Subjectivity in Best Value Procurement by Using Artificial Intelligence Systems in State of Utah Procurement. Journal of Construction Engineering and Management, 128(06), 496–502.

Knight, K and Robinson Fayek, A (2002) Use of Fuzzy Logic for Predicting Design Cost Overruns on Building Projects. Journal of Construction Engineering and Management, 128(06), 503–12.

  • Type: Journal Article
  • Keywords: Cost control; Decision making; Fuzzy sets; Project management; Construction; cost optimal control; building; construction industry; civil engineering; fuzzy set theory; project management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2002)128:6(503)
  • Abstract:
    This paper describes a model for use in predicting potential cost overruns on engineering design projects. The output of the model is useful in assessing the amount of possible risk on a project and the likelihood of making a profit on the job. The model is intended for use by engineering consultants, i.e., structural, mechanical, and electrical engineers, in the building design industry. This research uses fuzzy logic to model the relationships between the characteristics of a project and the potential risk events that may occur, and the associated cost overruns caused by combinations of the project characteristics and risk events. This paper discusses the topic of scope creep and scope definition, which are significant causes of cost overruns on design projects; identifies the project characteristics and risk events used in the model; explains the structure of the model and the use of fuzzy logic; and provides recommendations for future research.

Maloney, W F (2002) Construction Product/Service and Customer Satisfaction. Journal of Construction Engineering and Management, 128(06), 522–9.

Peng, J (2002) Stability Analyses and Design Recommendations for Practical Shoring Systems during Construction. Journal of Construction Engineering and Management, 128(06), 536–44.