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AbouRizk, S M and Halpin, D W (1992) Statistical Properties of Construction Duration Data. Journal of Construction Engineering and Management, 118(03), 525–44.

De La Garza, J M and Mitropoulos, P (1992) Flavors and Mixins of Expert Systems Technology Transfer Model for AEC Industry. Journal of Construction Engineering and Management, 118(03), 435–53.

Eldin, N N and Senouci, A B (1992) Use of Scrap Tires in Road Construction. Journal of Construction Engineering and Management, 118(03), 561–76.

Harris, R B (1992) A Challenge for Research. Journal of Construction Engineering and Management, 118(03), 422–34.

Hicks, J C (1992) Heavy Construction Estimates, with and without Computers. Journal of Construction Engineering and Management, 118(03), 545–60.

Nam, C H and Tatum, C B (1992) Government‐Industry Cooperation: Fast‐Track Concrete Innovation. Journal of Construction Engineering and Management, 118(03), 454–71.

Nam, C H and Tatum, C B (1992) Strategies for Technology Push: Lessons from Construction Innovations. Journal of Construction Engineering and Management, 118(03), 507–24.

Russell, J S and Jaselskis, E J (1992) Quantitative Study of Contractor Evaluation Programs and Their Impact. Journal of Construction Engineering and Management, 118(03), 612–24.

Shaked, O and Warszawski, A (1992) CONSCHED: Expert System for Scheduling of Modular Construction Projects. Journal of Construction Engineering and Management, 118(03), 488–506.

  • Type: Journal Article
  • Keywords: Expert systems; Construction; Scheduling; Modular structures;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1992)118:3(488)
  • Abstract:
    The paper describes the principles, operation, and development of an expert system for progress scheduling in the construction of modular multistory buildings. Objectives of effective scheduling are presented and some rules for attaining them in this type of buildings are suggested. The scheduling in the system is task rather than component oriented. The system plans the execution of tasks in view of various managerial goals, and is very flexible in terms of building activities that it can handle and the amount of data required from the user. The system at its present stage is applicable to residential buildings with reinforced concrete skeletons. Operation of the system includes input processing of the project attributes, estimation of works quantities, generation of activities necessary for their execution, allocation of time and resources to activities, and determination of the schedule. An application example is presented. The knowledge base of the system includes a rule base, a data base, algorithms, context knowledge, and user interface. Further development will involve expansion of the technological domain, alternative managerial policies, and different compositions of floors.

Skibniewski, M J and Chao, L (1992) Evaluation of Advanced Construction Technology with AHP Method. Journal of Construction Engineering and Management, 118(03), 577–93.

Thomas, H R, Smith, G R and Ponderlick, R M (1992) Resolving Contract Disputes Based on Misrepresentations. Journal of Construction Engineering and Management, 118(03), 472–87.

Tommelein, I D, Levitt, R E and Hayes‐Roth, B (1992) Site‐Layout Modeling: How Can Artificial Intelligence Help?. Journal of Construction Engineering and Management, 118(03), 594–611.