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AbouRizk, S M and Halpin, D W (1990) Probabilistic Simulation Studies for Repetitive Construction Processes. Journal of Construction Engineering and Management, 116(04), 575–94.

Ahmad, I (1990) Decision‐Support System for Modeling Bid/No‐Bid Decision Problem. Journal of Construction Engineering and Management, 116(04), 595–608.

Al Sarraj, Z M (1990) Formal Development of Line‐of‐Balance Technique. Journal of Construction Engineering and Management, 116(04), 689–704.

Bernold, L E (1990) Testing Bar‐Code Technology in Construction Environment. Journal of Construction Engineering and Management, 116(04), 643–55.

Gerwick, B C (1990) Implementing Construction Research. Journal of Construction Engineering and Management, 116(04), 556–63.

Gibson, G E and Bell, L C (1990) Electronic Data Interchange in Construction. Journal of Construction Engineering and Management, 116(04), 727–37.

Hampton, D, Jin, J S and Clark, E A (1990) Foundation Construction within Wastewater‐Treatment Plant. Journal of Construction Engineering and Management, 116(04), 564–73.

Pultar, M (1990) Progress‐Based Construction Scheduling. Journal of Construction Engineering and Management, 116(04), 670–88.

Seydel, J and Olson, D L (1990) Bids Considering Multiple Criteria. Journal of Construction Engineering and Management, 116(04), 609–23.

  • Type: Journal Article
  • Keywords: Bids; Decision making; Analytical techniques; Optimization;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1990)116:4(609)
  • Abstract:
    Typically, the only criterion quantitatively considered in competitive bidding optimization is profit criterion. This may or may not lead to suboptimal decisions when a decision maker's total utility is considered, depending upon the importance of profit relative to other criteria, such as loss avoidance or work force continuity. Common sense generally provides a basis for subjective modification of profit‐based bidding strategies in order to incorporate additional criteria. However, the more complex the situation, the more difficult it becomes to determine what strategy modifications are appropriate. This paper presents a quantitative method for incorporating decision‐maker preferences into the bidding process when multiple criteria are to be considered. The method is based upon the merging of stochastic bidding models with the analytical hierarchy process (AHP). Inputs are cost data, competitor data, and decision‐maker preferences, while output is a set of composite weights by which alternative bid markups may be ranked by multiple criteria.

Thomas, H R, Maloney, W F, Horner, R M W, Smith, G R, Handa, V K and Sanders, S R (1990) Modeling Construction Labor Productivity. Journal of Construction Engineering and Management, 116(04), 705–26.

Thomas, H R, Smith, G R and Wright, D E (1990) Resolving Disputes over Contract Notice Requirements. Journal of Construction Engineering and Management, 116(04), 738–55.

Vorster, M C and De La Garza, J M (1990) Consequential Equipment Costs Associated with Lack of Availability and Downtime. Journal of Construction Engineering and Management, 116(04), 656–69.

Yates, J K (1990) Data‐Base Systems for Evaluating Construction Programs. Journal of Construction Engineering and Management, 116(04), 624–42.