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Abu‐Hijleh, S F and Ibbs, C W (1993) Systematic Automated Management Exception Reporting. Journal of Construction Engineering and Management, 119(01), 87–104.

Beliveau, Y J, Dixit, S S, Dal, T and Morad, A A (1993) Multitask Motion Planning for Material Handling in Construction. Journal of Construction Engineering and Management, 119(01), 180–91.

Diaz, C F and Hadipriono, F C (1993) Nondeterministic Networking Methods. Journal of Construction Engineering and Management, 119(01), 40–57.

Everett, J G and Slocum, A H (1993) CRANIUM: Device for Improving Crane Productivity and Safety. Journal of Construction Engineering and Management, 119(01), 23–39.

Federle, M O, Rowings, J E and DeVany, T S (1993) Model of Career Choice for Craftworkers. Journal of Construction Engineering and Management, 119(01), 105–14.

Ioannou, P G and Leu, S (1993) Average‐Bid Method—Competitive Bidding Strategy. Journal of Construction Engineering and Management, 119(01), 131–47.

Jeljeli, M N, Russell, J S, Meyer, H W G and Vonderohe, A P (1993) Potential Applications of Geographic Information Systems to Construction Industry. Journal of Construction Engineering and Management, 119(01), 72–86.

Johnson, K D and Tatum, C B (1993) Technology in Marine Construction Firms. Journal of Construction Engineering and Management, 119(01), 148–62.

Kelley, M N (1993) Second Roebling Lecture 1991. Journal of Construction Engineering and Management, 119(01), 1–5.

Murtaza, M B, Fisher, D J and Skibniewski, M J (1993) Knowledge‐Based Approach to Modular Construction Decision Support. Journal of Construction Engineering and Management, 119(01), 115–30.

  • Type: Journal Article
  • Keywords: Decision support systems; Expert systems; Modular structures; Construction methods; Project management; Economic factors;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1993)119:1(115)
  • Abstract:
    The present paper focuses on the decision‐making methodology involved in deciding whether or not to use modular construction techniques in building a petrochemical or power plant. The paper identifies those factors that help construction owners and engineers involved in conceptual project design in their modularization decisions and proposes a formal framework for decision‐making support. A computerized knowledge‐based system assisting in this task is presented and discussed. The system performs feasibility analysis based upon various factors classified into five influencing factor categories—plant location; labor‐related; environmental and organizational; project characteristics; and project risks. The system also performs an economic analysis to determine the impact of modularization on cost and schedule. The performance of the system is validated comparing its recommendations with those of the experts in the construction industry. A statistical hypothesis test, conducted on the recommendations of the system and those of the experts, proves the system's credibility.

Sanders, S R and Thomas, H R (1993) Masonry Productivity Forecasting Model. Journal of Construction Engineering and Management, 119(01), 163–79.

Stewart, M G (1993) Modeling Human Performance in Reinforced Concrete Beam Construction. Journal of Construction Engineering and Management, 119(01), 6–22.

Touran, A (1993) Probabilistic Cost Estimating with Subjective Correlations. Journal of Construction Engineering and Management, 119(01), 58–71.